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Alexander L Perryman

Showing results (1-10 of 40) with videos related to

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Journal of Medicinal Chemistry|December 13, 2002
AutoDocking dinucleotides to the HIV-1 integrase core domain: exploring possible binding sites for viral and genomic DNAAlexander L Perryman, J Andrew McCammon
Plos Neglected Tropical Diseases|October 21, 2016
OpenZika: An IBM World Community Grid Project to Accelerate Zika Virus Drug DiscoverySean Ekins, Alexander L Perryman, Carolina Horta Andrade
Chemical Biology & Drug Design|June 21, 2006
Optimization and computational evaluation of a series of potential active site inhibitors of the V82F/I84V drug-resistant mutant of HIV-1 protease: an application of the relaxed complex method of structure-based drug designAlexander L Perryman, Jung-Hsin Lin, J Andrew McCammon
Protein Science : a Publication of the Protein Society|March 27, 2004
HIV-1 protease molecular dynamics of a wild-type and of the V82F/I84V mutant: possible contributions to drug resistance and a potential new target site for drugsAlexander L Perryman, Jung-Hsin Lin, J Andrew McCammon
Biopolymers|March 2, 2006
Restrained molecular dynamics simulations of HIV-1 protease: the first step in validating a new target for drug designAlexander L Perryman, Jung-Hsin Lin, J Andrew McCammon
Pharmaceutical Research|September 30, 2015
Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public DataAlexander L Perryman, Thomas P Stratton, Sean Ekins, et al.
Biopolymers|February 13, 2003
The relaxed complex method: Accommodating receptor flexibility for drug design with an improved scoring schemeJung-Hsin Lin, Alexander L Perryman, Julie R Schames, et al.
Journal of the American Chemical Society|May 16, 2002
Computational drug design accommodating receptor flexibility: the relaxed complex schemeJung-Hsin Lin, Alexander L Perryman, Julie R Schames, et al.
ACS Omega|July 21, 2020
Pruned Machine Learning Models to Predict Aqueous SolubilityAlexander L Perryman, Daigo Inoyama, Jimmy S Patel, et al.
Journal of Chemical Information and Modeling|June 24, 2016
Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015)Sean Ekins, Alexander L Perryman, Alex M Clark, et al.
Pageof 4

Showing results (1-10 of 40) with videos related to

Sort By:
Pageof 4
Journal of Medicinal Chemistry|December 13, 2002
AutoDocking dinucleotides to the HIV-1 integrase core domain: exploring possible binding sites for viral and genomic DNAAlexander L Perryman, J Andrew McCammon
Plos Neglected Tropical Diseases|October 21, 2016
OpenZika: An IBM World Community Grid Project to Accelerate Zika Virus Drug DiscoverySean Ekins, Alexander L Perryman, Carolina Horta Andrade
Chemical Biology & Drug Design|June 21, 2006
Optimization and computational evaluation of a series of potential active site inhibitors of the V82F/I84V drug-resistant mutant of HIV-1 protease: an application of the relaxed complex method of structure-based drug designAlexander L Perryman, Jung-Hsin Lin, J Andrew McCammon
Protein Science : a Publication of the Protein Society|March 27, 2004
HIV-1 protease molecular dynamics of a wild-type and of the V82F/I84V mutant: possible contributions to drug resistance and a potential new target site for drugsAlexander L Perryman, Jung-Hsin Lin, J Andrew McCammon
Biopolymers|March 2, 2006
Restrained molecular dynamics simulations of HIV-1 protease: the first step in validating a new target for drug designAlexander L Perryman, Jung-Hsin Lin, J Andrew McCammon
Pharmaceutical Research|September 30, 2015
Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public DataAlexander L Perryman, Thomas P Stratton, Sean Ekins, et al.
Biopolymers|February 13, 2003
The relaxed complex method: Accommodating receptor flexibility for drug design with an improved scoring schemeJung-Hsin Lin, Alexander L Perryman, Julie R Schames, et al.
Journal of the American Chemical Society|May 16, 2002
Computational drug design accommodating receptor flexibility: the relaxed complex schemeJung-Hsin Lin, Alexander L Perryman, Julie R Schames, et al.
ACS Omega|July 21, 2020
Pruned Machine Learning Models to Predict Aqueous SolubilityAlexander L Perryman, Daigo Inoyama, Jimmy S Patel, et al.
Journal of Chemical Information and Modeling|June 24, 2016
Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014-2015)Sean Ekins, Alexander L Perryman, Alex M Clark, et al.
Pageof 4