際際滷shows by User: ekinssean / http://www.slideshare.net/images/logo.gif 際際滷shows by User: ekinssean / Mon, 28 Oct 2024 13:50:52 GMT 際際滷Share feed for 際際滷shows by User: ekinssean Applying Artificial Intelligence in a Small Drug Discovery Company /slideshow/applying-artificial-intelligence-in-a-small-drug-discovery-company/272814888 ncatstalk-241028135053-c899eca4
A presentation at the in silico drug discovery workshop - NIH 2024 covering drug discovering using machine learning and AI approaches to identify small molecules for testing in vitro and in vivo]]>

A presentation at the in silico drug discovery workshop - NIH 2024 covering drug discovering using machine learning and AI approaches to identify small molecules for testing in vitro and in vivo]]>
Mon, 28 Oct 2024 13:50:52 GMT /slideshow/applying-artificial-intelligence-in-a-small-drug-discovery-company/272814888 ekinssean@slideshare.net(ekinssean) Applying Artificial Intelligence in a Small Drug Discovery Company ekinssean A presentation at the in silico drug discovery workshop - NIH 2024 covering drug discovering using machine learning and AI approaches to identify small molecules for testing in vitro and in vivo <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ncatstalk-241028135053-c899eca4-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A presentation at the in silico drug discovery workshop - NIH 2024 covering drug discovering using machine learning and AI approaches to identify small molecules for testing in vitro and in vivo
Applying Artificial Intelligence in a Small Drug Discovery Company from Sean Ekins
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How to Win a small business grant.pptx /slideshow/how-to-win-a-small-business-grantpptx/262648425 howtowinasmallbusinessgrant-231023213106-925391f5
Presentation from AAPS PharmSci360 (October 23, 2023) in which I describe highlights of my Springer/AAPS book Winning Grants (https://link.springer.com/book/10.1007/978-3-031-27516-6) - presenting a 'how to' guide on writing small business grants - e.g. NIH STTR and SBIR grants. Written by someone experienced in winning such grants.]]>

Presentation from AAPS PharmSci360 (October 23, 2023) in which I describe highlights of my Springer/AAPS book Winning Grants (https://link.springer.com/book/10.1007/978-3-031-27516-6) - presenting a 'how to' guide on writing small business grants - e.g. NIH STTR and SBIR grants. Written by someone experienced in winning such grants.]]>
Mon, 23 Oct 2023 21:31:06 GMT /slideshow/how-to-win-a-small-business-grantpptx/262648425 ekinssean@slideshare.net(ekinssean) How to Win a small business grant.pptx ekinssean Presentation from AAPS PharmSci360 (October 23, 2023) in which I describe highlights of my Springer/AAPS book Winning Grants (https://link.springer.com/book/10.1007/978-3-031-27516-6) - presenting a 'how to' guide on writing small business grants - e.g. NIH STTR and SBIR grants. Written by someone experienced in winning such grants. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/howtowinasmallbusinessgrant-231023213106-925391f5-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation from AAPS PharmSci360 (October 23, 2023) in which I describe highlights of my Springer/AAPS book Winning Grants (https://link.springer.com/book/10.1007/978-3-031-27516-6) - presenting a &#39;how to&#39; guide on writing small business grants - e.g. NIH STTR and SBIR grants. Written by someone experienced in winning such grants.
How to Win a small business grant.pptx from Sean Ekins
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Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic Toxicity /slideshow/evaluating-multiple-machine-learning-models-for-biodegradation-and-aquatic-toxicity/254276756 setac2022110122zen-221117161025-a4ec7143
The presentation was given at SETAC 2022 Nov 16 and describes our work on Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic Toxicity. We generated many models that are available to license in our MegaTox software. We found that the support vector machines performed the best after assessing many algorithms for both classification and regression models. The authors of this work are Thomas R Lane, Fabio Urbina and Sean Ekins. The contact is sean@collaborationspharma.com ]]>

The presentation was given at SETAC 2022 Nov 16 and describes our work on Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic Toxicity. We generated many models that are available to license in our MegaTox software. We found that the support vector machines performed the best after assessing many algorithms for both classification and regression models. The authors of this work are Thomas R Lane, Fabio Urbina and Sean Ekins. The contact is sean@collaborationspharma.com ]]>
Thu, 17 Nov 2022 16:10:25 GMT /slideshow/evaluating-multiple-machine-learning-models-for-biodegradation-and-aquatic-toxicity/254276756 ekinssean@slideshare.net(ekinssean) Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic Toxicity ekinssean The presentation was given at SETAC 2022 Nov 16 and describes our work on Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic Toxicity. We generated many models that are available to license in our MegaTox software. We found that the support vector machines performed the best after assessing many algorithms for both classification and regression models. The authors of this work are Thomas R Lane, Fabio Urbina and Sean Ekins. The contact is sean@collaborationspharma.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/setac2022110122zen-221117161025-a4ec7143-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The presentation was given at SETAC 2022 Nov 16 and describes our work on Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic Toxicity. We generated many models that are available to license in our MegaTox software. We found that the support vector machines performed the best after assessing many algorithms for both classification and regression models. The authors of this work are Thomas R Lane, Fabio Urbina and Sean Ekins. The contact is sean@collaborationspharma.com
Evaluating Multiple Machine Learning Models for Biodegradation and Aquatic Toxicity from Sean Ekins
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A presentation at the Global Genes rare drug development symposium on government funding /slideshow/a-presentation-at-the-global-genes-rare-drug-development-symposium-on-government-funding/235493243 globalgenesslidesv4-200612164057
This presentation from June 12 2020 gives a brief overview of my experience of 15 years of applying for government grants to fund small companies. Prior to this I had no experience of applying for such grants. The bottom line for rare disease groups / families is find a scientist that can do this or assist you. please also see www.collaborationspharma.com]]>

This presentation from June 12 2020 gives a brief overview of my experience of 15 years of applying for government grants to fund small companies. Prior to this I had no experience of applying for such grants. The bottom line for rare disease groups / families is find a scientist that can do this or assist you. please also see www.collaborationspharma.com]]>
Fri, 12 Jun 2020 16:40:57 GMT /slideshow/a-presentation-at-the-global-genes-rare-drug-development-symposium-on-government-funding/235493243 ekinssean@slideshare.net(ekinssean) A presentation at the Global Genes rare drug development symposium on government funding ekinssean This presentation from June 12 2020 gives a brief overview of my experience of 15 years of applying for government grants to fund small companies. Prior to this I had no experience of applying for such grants. The bottom line for rare disease groups / families is find a scientist that can do this or assist you. please also see www.collaborationspharma.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/globalgenesslidesv4-200612164057-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation from June 12 2020 gives a brief overview of my experience of 15 years of applying for government grants to fund small companies. Prior to this I had no experience of applying for such grants. The bottom line for rare disease groups / families is find a scientist that can do this or assist you. please also see www.collaborationspharma.com
A presentation at the Global Genes rare drug development symposium on government funding from Sean Ekins
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Leveraging Science Communication and Social Media to Build Your Brand and Elevate Your Career /slideshow/leveraging-science-communication-and-social-media-to-build-your-brand-and-elevate-your-career/122195231 googleslidesaapssocialsession1-181106223212
際際滷s from AAPS Careers session by Maren Katherina Preis, Kyle Bagin, Sean Ekins Provides some clear steps on how you could use social media to help your career. ]]>

際際滷s from AAPS Careers session by Maren Katherina Preis, Kyle Bagin, Sean Ekins Provides some clear steps on how you could use social media to help your career. ]]>
Tue, 06 Nov 2018 22:32:12 GMT /slideshow/leveraging-science-communication-and-social-media-to-build-your-brand-and-elevate-your-career/122195231 ekinssean@slideshare.net(ekinssean) Leveraging Science Communication and Social Media to Build Your Brand and Elevate Your Career ekinssean 際際滷s from AAPS Careers session by Maren Katherina Preis, Kyle Bagin, Sean Ekins Provides some clear steps on how you could use social media to help your career. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/googleslidesaapssocialsession1-181106223212-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> 際際滷s from AAPS Careers session by Maren Katherina Preis, Kyle Bagin, Sean Ekins Provides some clear steps on how you could use social media to help your career.
Leveraging Science Communication and Social Media to Build Your Brand and Elevate Your Career from Sean Ekins
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Bayesian Models for Chagas Disease /ekinssean/bayesian-models-for-chagas-disease zornmedifinal-170826031846
Oral presentation given in MEDI session at 2017 ACS in DC. co-authors Kimberley M. Zorn, Mary A. Lingerfelt, Jair L. de Siqueira-Neto, Alex M. Clark, Sean Ekins describes drug repurposing and machine learning - for more details see www.collaborationspharma.com ]]>

Oral presentation given in MEDI session at 2017 ACS in DC. co-authors Kimberley M. Zorn, Mary A. Lingerfelt, Jair L. de Siqueira-Neto, Alex M. Clark, Sean Ekins describes drug repurposing and machine learning - for more details see www.collaborationspharma.com ]]>
Sat, 26 Aug 2017 03:18:46 GMT /ekinssean/bayesian-models-for-chagas-disease ekinssean@slideshare.net(ekinssean) Bayesian Models for Chagas Disease ekinssean Oral presentation given in MEDI session at 2017 ACS in DC. co-authors Kimberley M. Zorn, Mary A. Lingerfelt, Jair L. de Siqueira-Neto, Alex M. Clark, Sean Ekins describes drug repurposing and machine learning - for more details see www.collaborationspharma.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zornmedifinal-170826031846-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Oral presentation given in MEDI session at 2017 ACS in DC. co-authors Kimberley M. Zorn, Mary A. Lingerfelt, Jair L. de Siqueira-Neto, Alex M. Clark, Sean Ekins describes drug repurposing and machine learning - for more details see www.collaborationspharma.com
Bayesian Models for Chagas Disease from Sean Ekins
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Assay Central: A New Approach to Compiling Big Data and Preparing Machine Learning Models for Drug Repurposing /ekinssean/assay-central-a-new-approach-to-compiling-big-data-and-preparing-machine-learning-models-for-drug-repurposing zorncinffinal-170826031146
Oral presentation at 2017 ACS in DC - given by Kimberley Zorn co-authors include Mary A. Lingerfelt, Alex M. Clark, Sean Ekins for more details see www.collaborationspharma.com]]>

Oral presentation at 2017 ACS in DC - given by Kimberley Zorn co-authors include Mary A. Lingerfelt, Alex M. Clark, Sean Ekins for more details see www.collaborationspharma.com]]>
Sat, 26 Aug 2017 03:11:46 GMT /ekinssean/assay-central-a-new-approach-to-compiling-big-data-and-preparing-machine-learning-models-for-drug-repurposing ekinssean@slideshare.net(ekinssean) Assay Central: A New Approach to Compiling Big Data and Preparing Machine Learning Models for Drug Repurposing ekinssean Oral presentation at 2017 ACS in DC - given by Kimberley Zorn co-authors include Mary A. Lingerfelt, Alex M. Clark, Sean Ekins for more details see www.collaborationspharma.com <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zorncinffinal-170826031146-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Oral presentation at 2017 ACS in DC - given by Kimberley Zorn co-authors include Mary A. Lingerfelt, Alex M. Clark, Sean Ekins for more details see www.collaborationspharma.com
Assay Central: A New Approach to Compiling Big Data and Preparing Machine Learning Models for Drug Repurposing from Sean Ekins
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Drug Discovery Today March 2017 special issue /slideshow/drug-discovery-today-march-2017-special-issue/73226991 ddttbspecialissuecover-170316220442
A special issue on tuberculosis drug research funded by the EU. With particular focus on MM4TB]]>

A special issue on tuberculosis drug research funded by the EU. With particular focus on MM4TB]]>
Thu, 16 Mar 2017 22:04:42 GMT /slideshow/drug-discovery-today-march-2017-special-issue/73226991 ekinssean@slideshare.net(ekinssean) Drug Discovery Today March 2017 special issue ekinssean A special issue on tuberculosis drug research funded by the EU. With particular focus on MM4TB <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ddttbspecialissuecover-170316220442-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A special issue on tuberculosis drug research funded by the EU. With particular focus on MM4TB
Drug Discovery Today March 2017 special issue from Sean Ekins
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Using In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases /slideshow/using-in-silico-tools-in-repurposing-drugs-for-neglected-and-orphan-diseases/69122716 aapsrepurposingtalkv3-161117000343
Presentation given at the AAPS meeting 2016 in Denver in a session on repurposing. I describes several recent published studies and unpublished work. ]]>

Presentation given at the AAPS meeting 2016 in Denver in a session on repurposing. I describes several recent published studies and unpublished work. ]]>
Thu, 17 Nov 2016 00:03:43 GMT /slideshow/using-in-silico-tools-in-repurposing-drugs-for-neglected-and-orphan-diseases/69122716 ekinssean@slideshare.net(ekinssean) Using In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases ekinssean Presentation given at the AAPS meeting 2016 in Denver in a session on repurposing. I describes several recent published studies and unpublished work. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aapsrepurposingtalkv3-161117000343-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation given at the AAPS meeting 2016 in Denver in a session on repurposing. I describes several recent published studies and unpublished work.
Using In Silico Tools in Repurposing Drugs for Neglected and Orphan Diseases from Sean Ekins
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Five Ways to Use Social Media to Raise Awareness for Your Paper or Research /ekinssean/five-ways-to-use-social-media-to-raise-awareness-for-your-paper-or-research aapssocialmediatalkv3-161116235808
Presentation given at the AAPS 2016 conference in Denver. Some of the slides are from AAPS, Some from Kudos and some from Figshare. One slide is from Tony Williams. All slides used with permission.]]>

Presentation given at the AAPS 2016 conference in Denver. Some of the slides are from AAPS, Some from Kudos and some from Figshare. One slide is from Tony Williams. All slides used with permission.]]>
Wed, 16 Nov 2016 23:58:08 GMT /ekinssean/five-ways-to-use-social-media-to-raise-awareness-for-your-paper-or-research ekinssean@slideshare.net(ekinssean) Five Ways to Use Social Media to Raise Awareness for Your Paper or Research ekinssean Presentation given at the AAPS 2016 conference in Denver. Some of the slides are from AAPS, Some from Kudos and some from Figshare. One slide is from Tony Williams. All slides used with permission. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aapssocialmediatalkv3-161116235808-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation given at the AAPS 2016 conference in Denver. Some of the slides are from AAPS, Some from Kudos and some from Figshare. One slide is from Tony Williams. All slides used with permission.
Five Ways to Use Social Media to Raise Awareness for Your Paper or Research from Sean Ekins
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Open zika presentation /ekinssean/open-zika-presentation openzikapresentationupdate-161020195903
These slides provide a complete and upto date analysis of the project and complement the recent article in PLOS Neglected Tropical Diseases]]>

These slides provide a complete and upto date analysis of the project and complement the recent article in PLOS Neglected Tropical Diseases]]>
Thu, 20 Oct 2016 19:59:03 GMT /ekinssean/open-zika-presentation ekinssean@slideshare.net(ekinssean) Open zika presentation ekinssean These slides provide a complete and upto date analysis of the project and complement the recent article in PLOS Neglected Tropical Diseases <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/openzikapresentationupdate-161020195903-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> These slides provide a complete and upto date analysis of the project and complement the recent article in PLOS Neglected Tropical Diseases
Open zika presentation from Sean Ekins
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academic / small company collaborations for rare and neglected diseasesv2 /slideshow/academic-small-company-collaborations-for-rare-and-neglected-diseasesv2/62707021 bioviaacademicsmallcompanycollaborationsforrareandneglecteddiseasesv2-160603201113
Talk at Science in the age of experience May 2016 - boston ]]>

Talk at Science in the age of experience May 2016 - boston ]]>
Fri, 03 Jun 2016 20:11:13 GMT /slideshow/academic-small-company-collaborations-for-rare-and-neglected-diseasesv2/62707021 ekinssean@slideshare.net(ekinssean) academic / small company collaborations for rare and neglected diseasesv2 ekinssean Talk at Science in the age of experience May 2016 - boston <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bioviaacademicsmallcompanycollaborationsforrareandneglecteddiseasesv2-160603201113-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Talk at Science in the age of experience May 2016 - boston
academic / small company collaborations for rare and neglected diseasesv2 from Sean Ekins
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CDD models case study #3 /slideshow/cdd-models-case-study-3/62107607 cddmodelscasestudy3version2se-160517163443
A Case study for CDD Models using a kinase dataset in a secure CDD Vault ]]>

A Case study for CDD Models using a kinase dataset in a secure CDD Vault ]]>
Tue, 17 May 2016 16:34:43 GMT /slideshow/cdd-models-case-study-3/62107607 ekinssean@slideshare.net(ekinssean) CDD models case study #3 ekinssean A Case study for CDD Models using a kinase dataset in a secure CDD Vault <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cddmodelscasestudy3version2se-160517163443-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A Case study for CDD Models using a kinase dataset in a secure CDD Vault
CDD models case study #3 from Sean Ekins
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CDD models case study #2 /slideshow/cdd-models-case-study-2/62107510 cddmodelscasestudy2version2se-160517163215
Using Schistosoma mansoni data to demonstrate CDD Models - a test case to illustrate their use in a secure vault ]]>

Using Schistosoma mansoni data to demonstrate CDD Models - a test case to illustrate their use in a secure vault ]]>
Tue, 17 May 2016 16:32:15 GMT /slideshow/cdd-models-case-study-2/62107510 ekinssean@slideshare.net(ekinssean) CDD models case study #2 ekinssean Using Schistosoma mansoni data to demonstrate CDD Models - a test case to illustrate their use in a secure vault <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cddmodelscasestudy2version2se-160517163215-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Using Schistosoma mansoni data to demonstrate CDD Models - a test case to illustrate their use in a secure vault
CDD models case study #2 from Sean Ekins
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CDD Models case study #1 /slideshow/cdd-models-case-study-1/62107372 cddmodelscasestudy1version2se-160517162919
Using AZ ADME data to demonstrate CDD Models - a test case to illustrate their use in a secure vault]]>

Using AZ ADME data to demonstrate CDD Models - a test case to illustrate their use in a secure vault]]>
Tue, 17 May 2016 16:29:19 GMT /slideshow/cdd-models-case-study-1/62107372 ekinssean@slideshare.net(ekinssean) CDD Models case study #1 ekinssean Using AZ ADME data to demonstrate CDD Models - a test case to illustrate their use in a secure vault <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cddmodelscasestudy1version2se-160517162919-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Using AZ ADME data to demonstrate CDD Models - a test case to illustrate their use in a secure vault
CDD Models case study #1 from Sean Ekins
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Using Machine Learning Models Based on Phenotypic Data to Discover New Molecules For neglected diseases /slideshow/using-machine-learning-models-based-on-phenotypic-data-to-discover-new/59707185 acsbigdatasessiontalksdrevisedslides-160318040226
Presentation on Thursday 18 march 2016 a ACS National meeting. Session on BIG DATA. My last ACS presentation a the national meeting !]]>

Presentation on Thursday 18 march 2016 a ACS National meeting. Session on BIG DATA. My last ACS presentation a the national meeting !]]>
Fri, 18 Mar 2016 04:02:25 GMT /slideshow/using-machine-learning-models-based-on-phenotypic-data-to-discover-new/59707185 ekinssean@slideshare.net(ekinssean) Using Machine Learning Models Based on Phenotypic Data to Discover New Molecules For neglected diseases ekinssean Presentation on Thursday 18 march 2016 a ACS National meeting. Session on BIG DATA. My last ACS presentation a the national meeting ! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acsbigdatasessiontalksdrevisedslides-160318040226-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation on Thursday 18 march 2016 a ACS National meeting. Session on BIG DATA. My last ACS presentation a the national meeting !
Using Machine Learning Models Based on Phenotypic Data to Discover New Molecules For neglected diseases from Sean Ekins
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CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists doing drug discovery /slideshow/cdd-vault-cdd-vision-and-cdd-models-software-for-biologists-and-chemists-doing-drug-discovery/59655785 acssd2016cddtalk-160316231246
A perspective on 12 yrs of CDD and developing products and collaborations. A presentation given at the ACS meeting in San Diego - small business section]]>

A perspective on 12 yrs of CDD and developing products and collaborations. A presentation given at the ACS meeting in San Diego - small business section]]>
Wed, 16 Mar 2016 23:12:46 GMT /slideshow/cdd-vault-cdd-vision-and-cdd-models-software-for-biologists-and-chemists-doing-drug-discovery/59655785 ekinssean@slideshare.net(ekinssean) CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists doing drug discovery ekinssean A perspective on 12 yrs of CDD and developing products and collaborations. A presentation given at the ACS meeting in San Diego - small business section <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/acssd2016cddtalk-160316231246-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A perspective on 12 yrs of CDD and developing products and collaborations. A presentation given at the ACS meeting in San Diego - small business section
CDD: Vault, CDD: Vision and CDD: Models software for biologists and chemists doing drug discovery from Sean Ekins
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The future of computational chemistry b ig /slideshow/the-future-of-computational-chemistry-b-ig/59476461 thefutureofcomputationalchemistrybig-160313023325
Riff on the economist cover March 2016 - with a huge debt to their graphic designer!]]>

Riff on the economist cover March 2016 - with a huge debt to their graphic designer!]]>
Sun, 13 Mar 2016 02:33:25 GMT /slideshow/the-future-of-computational-chemistry-b-ig/59476461 ekinssean@slideshare.net(ekinssean) The future of computational chemistry b ig ekinssean Riff on the economist cover March 2016 - with a huge debt to their graphic designer! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thefutureofcomputationalchemistrybig-160313023325-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Riff on the economist cover March 2016 - with a huge debt to their graphic designer!
The future of computational chemistry b ig from Sean Ekins
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#ZikaOpen: Homology Models - /slideshow/zikaopen-homology-models/58387937 zika-presentation-160217183411
This presentation summarizes some early efforts on an open drug discovery collaboration between scientists in Brazil and the US. The amazing virus images were created by John Liebler and can be licensed from him http://www.artofthecell.com/animation/will-the-real-zika-virus-please-stand-up The homology models were created with Swiss Model by Sean Ekins: Marco Biasini, Stefan Bienert, Andrew Waterhouse, Konstantin Arnold, Gabriel Studer, Tobias Schmidt, Florian Kiefer, Tiziano Gallo Cassarino, Martino Bertoni, Lorenza Bordoli, Torsten Schwede. (2014). SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Research; (1 July 2014) 42 (W1): W252-W258; doi: 10.1093/nar/gku340. Arnold K., Bordoli L., Kopp J., and Schwede T. (2006). The SWISS-MODEL Workspace: A web-based environment for protein structure homology modelling. Bioinformatics, 22,195-201. Kiefer F, Arnold K, K端nzli M, Bordoli L, Schwede T (2009). The SWISS-MODEL Repository and associated resources. Nucleic Acids Research. 37, D387-D392. Guex, N., Peitsch, M.C., Schwede, T. (2009). Automated comparative protein structure modeling with SWISS-MODEL and Swiss-PdbViewer: A historical perspective. Electrophoresis, 30(S1), S162-S173. ]]>

This presentation summarizes some early efforts on an open drug discovery collaboration between scientists in Brazil and the US. The amazing virus images were created by John Liebler and can be licensed from him http://www.artofthecell.com/animation/will-the-real-zika-virus-please-stand-up The homology models were created with Swiss Model by Sean Ekins: Marco Biasini, Stefan Bienert, Andrew Waterhouse, Konstantin Arnold, Gabriel Studer, Tobias Schmidt, Florian Kiefer, Tiziano Gallo Cassarino, Martino Bertoni, Lorenza Bordoli, Torsten Schwede. (2014). SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Research; (1 July 2014) 42 (W1): W252-W258; doi: 10.1093/nar/gku340. Arnold K., Bordoli L., Kopp J., and Schwede T. (2006). The SWISS-MODEL Workspace: A web-based environment for protein structure homology modelling. Bioinformatics, 22,195-201. Kiefer F, Arnold K, K端nzli M, Bordoli L, Schwede T (2009). The SWISS-MODEL Repository and associated resources. Nucleic Acids Research. 37, D387-D392. Guex, N., Peitsch, M.C., Schwede, T. (2009). Automated comparative protein structure modeling with SWISS-MODEL and Swiss-PdbViewer: A historical perspective. Electrophoresis, 30(S1), S162-S173. ]]>
Wed, 17 Feb 2016 18:34:11 GMT /slideshow/zikaopen-homology-models/58387937 ekinssean@slideshare.net(ekinssean) #ZikaOpen: Homology Models - ekinssean This presentation summarizes some early efforts on an open drug discovery collaboration between scientists in Brazil and the US. The amazing virus images were created by John Liebler and can be licensed from him http://www.artofthecell.com/animation/will-the-real-zika-virus-please-stand-up The homology models were created with Swiss Model by Sean Ekins: Marco Biasini, Stefan Bienert, Andrew Waterhouse, Konstantin Arnold, Gabriel Studer, Tobias Schmidt, Florian Kiefer, Tiziano Gallo Cassarino, Martino Bertoni, Lorenza Bordoli, Torsten Schwede. (2014). SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Research; (1 July 2014) 42 (W1): W252-W258; doi: 10.1093/nar/gku340. Arnold K., Bordoli L., Kopp J., and Schwede T. (2006). The SWISS-MODEL Workspace: A web-based environment for protein structure homology modelling. Bioinformatics, 22,195-201. Kiefer F, Arnold K, K端nzli M, Bordoli L, Schwede T (2009). The SWISS-MODEL Repository and associated resources. Nucleic Acids Research. 37, D387-D392. Guex, N., Peitsch, M.C., Schwede, T. (2009). Automated comparative protein structure modeling with SWISS-MODEL and Swiss-PdbViewer: A historical perspective. Electrophoresis, 30(S1), S162-S173. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/zika-presentation-160217183411-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation summarizes some early efforts on an open drug discovery collaboration between scientists in Brazil and the US. The amazing virus images were created by John Liebler and can be licensed from him http://www.artofthecell.com/animation/will-the-real-zika-virus-please-stand-up The homology models were created with Swiss Model by Sean Ekins: Marco Biasini, Stefan Bienert, Andrew Waterhouse, Konstantin Arnold, Gabriel Studer, Tobias Schmidt, Florian Kiefer, Tiziano Gallo Cassarino, Martino Bertoni, Lorenza Bordoli, Torsten Schwede. (2014). SWISS-MODEL: modelling protein tertiary and quaternary structure using evolutionary information. Nucleic Acids Research; (1 July 2014) 42 (W1): W252-W258; doi: 10.1093/nar/gku340. Arnold K., Bordoli L., Kopp J., and Schwede T. (2006). The SWISS-MODEL Workspace: A web-based environment for protein structure homology modelling. Bioinformatics, 22,195-201. Kiefer F, Arnold K, K端nzli M, Bordoli L, Schwede T (2009). The SWISS-MODEL Repository and associated resources. Nucleic Acids Research. 37, D387-D392. Guex, N., Peitsch, M.C., Schwede, T. (2009). Automated comparative protein structure modeling with SWISS-MODEL and Swiss-PdbViewer: A historical perspective. Electrophoresis, 30(S1), S162-S173.
#ZikaOpen: Homology Models - from Sean Ekins
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Slas talk 2016 /slideshow/slas-talk-2016/57515085 slastalk2016-160126161327
Ensuring Chemical Structure, Biological Data and Computational Model Quality A talk given at SLAS 2016 mon Jan 25th in San Diego covers published work and recent forays with BIA 10-2474]]>

Ensuring Chemical Structure, Biological Data and Computational Model Quality A talk given at SLAS 2016 mon Jan 25th in San Diego covers published work and recent forays with BIA 10-2474]]>
Tue, 26 Jan 2016 16:13:26 GMT /slideshow/slas-talk-2016/57515085 ekinssean@slideshare.net(ekinssean) Slas talk 2016 ekinssean Ensuring Chemical Structure, Biological Data and Computational Model Quality A talk given at SLAS 2016 mon Jan 25th in San Diego covers published work and recent forays with BIA 10-2474 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/slastalk2016-160126161327-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Ensuring Chemical Structure, Biological Data and Computational Model Quality A talk given at SLAS 2016 mon Jan 25th in San Diego covers published work and recent forays with BIA 10-2474
Slas talk 2016 from Sean Ekins
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https://cdn.slidesharecdn.com/profile-photo-ekinssean-48x48.jpg?cb=1730123344 Sean Ekins graduated from the University of Aberdeen; receiving his M.Sc., Ph.D. and D.Sc. He was a postdoctoral fellow at Lilly Research Laboratories. He has worked as a senior scientist at Pfizer, Senior Computational Chemist at Lilly Research Laboratories, Associate Director of Computational Drug Discovery at Concurrent Pharmaceuticals, Inc. and Vice President of Computational Biology at GeneGo. He is Adjunct Associate Professor, School of Pharmacy Department of Pharmaceutical Sciences, University of Maryland and Senior Consultant at Collaborations in Chemistry Inc. He is also on the scientific advisory board for Emiliem Inc. and the advisory board for Chemical Informatics at Indiana U... www.collaborationspharma.com/ https://cdn.slidesharecdn.com/ss_thumbnails/ncatstalk-241028135053-c899eca4-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/applying-artificial-intelligence-in-a-small-drug-discovery-company/272814888 Applying Artificial In... https://cdn.slidesharecdn.com/ss_thumbnails/howtowinasmallbusinessgrant-231023213106-925391f5-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/how-to-win-a-small-business-grantpptx/262648425 How to Win a small bus... https://cdn.slidesharecdn.com/ss_thumbnails/setac2022110122zen-221117161025-a4ec7143-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/evaluating-multiple-machine-learning-models-for-biodegradation-and-aquatic-toxicity/254276756 Evaluating Multiple Ma...