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Travis Maxfield

Showing results (1-10 of 8) with videos related to

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Physical Review Letters|August 29, 2015
Constraining de Sitter Space in String TheoryDavid Kutasov, Travis Maxfield, Ilarion Melnikov, et al.
Molecular Informatics|October 6, 2023
HIt Discovery using docking ENriched by GEnerative Modeling (HIDDEN GEM): A novel computational workflow for accelerated virtual screening of ultra-large chemical librariesKonstantin I Popov, James Wellnitz, Travis Maxfield, et al.
Research Square|June 4, 2026
Machine Learning Models with a Reject Option to Minimize Prediction Error: Application to Optical Properties of Dye MoleculesJames Wellnitz, Travis Maxfield, Matthew Hart, et al.
Journal of Cheminformatics|January 17, 2025
One size does not fit all: revising traditional paradigms for assessing accuracy of QSAR models used for virtual screeningJames Wellnitz, Sankalp Jain, Joshua E Hochuli, et al.
Advances in Information Retrieval : ... European Conference on IR Research, ECIR ... Proceedings. European Conference on IR Research|April 8, 2024
Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity SearchKathryn E Kirchoff, James Wellnitz, Joshua E Hochuli, et al.
Biorxiv : the Preprint Server for Biology|March 10, 2025
Open-Source DNA-Encoded Library Package for Design, Decoding and Analysis: DELiJames Wellnitz, Brandon Novy, Travis Maxfield, et al.
Biorxiv : the Preprint Server for Biology|November 19, 2025
Expansion of DNA-Encoded Library Hits Using Generative Chemistry and Ultra-Large Compound CatalogsBrandon Novy, Shu-Hang Lin, Devan J Shell, et al.
Nature Communications|April 29, 2025
AI-driven discovery of synergistic drug combinations against pancreatic cancerMohsen Pourmousa, Sankalp Jain, Elena Barnaeva, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Physical Review Letters|August 29, 2015
Constraining de Sitter Space in String TheoryDavid Kutasov, Travis Maxfield, Ilarion Melnikov, et al.
Molecular Informatics|October 6, 2023
HIt Discovery using docking ENriched by GEnerative Modeling (HIDDEN GEM): A novel computational workflow for accelerated virtual screening of ultra-large chemical librariesKonstantin I Popov, James Wellnitz, Travis Maxfield, et al.
Research Square|June 4, 2026
Machine Learning Models with a Reject Option to Minimize Prediction Error: Application to Optical Properties of Dye MoleculesJames Wellnitz, Travis Maxfield, Matthew Hart, et al.
Journal of Cheminformatics|January 17, 2025
One size does not fit all: revising traditional paradigms for assessing accuracy of QSAR models used for virtual screeningJames Wellnitz, Sankalp Jain, Joshua E Hochuli, et al.
Advances in Information Retrieval : ... European Conference on IR Research, ECIR ... Proceedings. European Conference on IR Research|April 8, 2024
Utilizing Low-Dimensional Molecular Embeddings for Rapid Chemical Similarity SearchKathryn E Kirchoff, James Wellnitz, Joshua E Hochuli, et al.
Biorxiv : the Preprint Server for Biology|March 10, 2025
Open-Source DNA-Encoded Library Package for Design, Decoding and Analysis: DELiJames Wellnitz, Brandon Novy, Travis Maxfield, et al.
Biorxiv : the Preprint Server for Biology|November 19, 2025
Expansion of DNA-Encoded Library Hits Using Generative Chemistry and Ultra-Large Compound CatalogsBrandon Novy, Shu-Hang Lin, Devan J Shell, et al.
Nature Communications|April 29, 2025
AI-driven discovery of synergistic drug combinations against pancreatic cancerMohsen Pourmousa, Sankalp Jain, Elena Barnaeva, et al.
Pageof 1