Alexander L. Perryman

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 3

Top Topics

Chemical Structures

Virtual Screening

Top Venues

J. Chem. Inf. Model.

J. Comput. Aided Mol. Des.

Publications

Melina Mottin, Bruna Katiele de Paula Sousa, Nathalya Cristina de Moraes Roso Mesquita, Ketllyn Irene Zagato de Oliveira, Gabriela Dias Noske, Geraldo Rodrigues Sartori, Aline Albuquerque, Fabio Urbina, Ana C. Puhl, José Teófilo Moreira-Filho, Guilherme E. Souza, Rafael V. C. Guido, Eugene N. Muratov, Bruno Junior Neves, João Herminio Martins Da Silva, Alex E. Clark, Jair L. Siqueira-Neto, Alexander L. Perryman, Glaucius Oliva, Sean Ekins, Carolina Horta Andrade
Discovery of New Zika Protease and Polymerase Inhibitors through the Open Science Collaboration Project OpenZika. J. Chem. Inf. Model. 62 (24) (2022)
Sean Ekins, Alexander L. Perryman, Alex M. Clark, Robert C. Reynolds, Joel S. Freundlich
Infection (2014-2015). J. Chem. Inf. Model. 56 (7) (2016)
Alexander L. Perryman, Weixuan Yu, Xin Wang, Sean Ekins, Stefano Forli, Shao-Gang Li, Joel S. Freundlich, Peter J. Tonge, Arthur J. Olson
InhA. J. Chem. Inf. Model. 55 (3) (2015)
David L. Mobley, Shuai Liu, Nathan M. Lim, Karisa L. Wymer, Alexander L. Perryman, Stefano Forli, Nan-Jie Deng, Justin Su, Kim Branson, Arthur J. Olson
Blind prediction of HIV integrase binding from the SAMPL4 challenge. J. Comput. Aided Mol. Des. 28 (4) (2014)
Alexander L. Perryman, Daniel N. Santiago, Stefano Forli, Diogo Santos-Martins, Arthur J. Olson
Virtual screening with AutoDock Vina and the common pharmacophore engine of a low diversity library of fragments and hits against the three allosteric sites of HIV integrase: participation in the SAMPL4 protein-ligand binding challenge. J. Comput. Aided Mol. Des. 28 (4) (2014)
Emilio Gallicchio, Nan-Jie Deng, Peng He, Lauren Wickstrom, Alexander L. Perryman, Daniel N. Santiago, Stefano Forli, Arthur J. Olson, Ronald M. Levy
Virtual screening of integrase inhibitors by large scale binding free energy calculations: the SAMPL4 challenge. J. Comput. Aided Mol. Des. 28 (4) (2014)