Drugging the entire human proteome: Are we there yet?

被引:1
作者
Smith, Micholas Dean [1 ,2 ]
Quarles, L. Darryl [3 ,4 ]
Demerdash, Omar [5 ]
Smith, Jeremy C. [1 ,2 ]
机构
[1] Univ Tennessee, Oak Ridge Natl Lab, Ctr Mol Biophys, Oak Ridge, TN 37830 USA
[2] Univ Tennessee, Dept Biochem Cellular & Mol Biol, Knoxville, TN 37996 USA
[3] Univ Tennessee, Hlth Sci Ctr, Dept Med, Memphis, TN 38163 USA
[4] ORRxD LLC, 3404 Olney Dr, Durham, NC 27705 USA
[5] Biosci Div, Oak Ridge Natl Lab, Oak Ridge, TN 37830 USA
关键词
SCORING FUNCTION; LIGAND INTERACTIONS; ENSEMBLE DOCKING; AFFINITY PREDICTION; BINDING AFFINITIES; CRYO-EM; DESIGN; IMPACT; OPTIMIZATION; FLEXIBILITY;
D O I
10.1016/j.drudis.2024.103891
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Each of the 20,000 proteins in the human proteome is a potential target for compounds that bind to it and modify its function. The 3D structures of most of these proteins are now available. Here, we discuss the prospects for using these structures to perform proteome-wide virtual HTS (VHTS). We compare physics-based (docking) and AI VHTS approaches, some of which are now being applied with large databases of compounds to thousands of targets. Although preliminary proteome-wide screens are now within our grasp, further methodological developments are expected to improve the accuracy of the results.
引用
收藏
页数:10
相关论文
共 121 条
[51]   MatchMaker: A Deep Learning Framework for Drug Synergy Prediction [J].
Kuru, Halil Ibrahim ;
Tastan, Oznur ;
Cicek, A. Ercument .
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, 2022, 19 (04) :2334-2344
[52]   Investigating Cryptic Binding Sites by Molecular Dynamics Simulations [J].
Kuzmanic, Antonija ;
Bowman, Gregory R. ;
Juarez-Jimenez, Jordi ;
Michel, Julien ;
Gervasio, Francesco L. .
ACCOUNTS OF CHEMICAL RESEARCH, 2020, 53 (03) :654-661
[53]   Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge [J].
Lawson, Catherine L. ;
Kryshtafovych, Andriy ;
Adams, Paul D. ;
Afonine, Pavel, V ;
Baker, Matthew L. ;
Barad, Benjamin A. ;
Bond, Paul ;
Burnley, Tom ;
Cao, Renzhi ;
Cheng, Jianlin ;
Chojnowski, Grzegorz ;
Cowtan, Kevin ;
Dill, Ken A. ;
DiMaio, Frank ;
Farrell, Daniel P. ;
Fraser, James S. ;
Herzik, Mark A., Jr. ;
Hoh, Soon Wen ;
Hou, Jie ;
Hung, Li-Wei ;
Igaev, Maxim ;
Joseph, Agnel P. ;
Kihara, Daisuke ;
Kumar, Dilip ;
Mittal, Sumit ;
Monastyrskyy, Bohdan ;
Olek, Mateusz ;
Palmer, Colin M. ;
Patwardhan, Ardan ;
Perez, Alberto ;
Pfab, Jonas ;
Pintilie, Grigore D. ;
Richardson, Jane S. ;
Rosenthal, Peter B. ;
Sarkar, Daipayan ;
Schafer, Luisa U. ;
Schmid, Michael F. ;
Schroder, Gunnar F. ;
Shekhar, Mrinal ;
Si, Dong ;
Singharoy, Abishek ;
Terashi, Genki ;
Terwilliger, Thomas C. ;
Vaiana, Andrea ;
Wang, Liguo ;
Wang, Zhe ;
Wankowicz, Stephanie A. ;
Williams, Christopher J. ;
Winn, Martyn ;
Wu, Tianqi .
NATURE METHODS, 2021, 18 (02) :156-+
[54]   GPU-Accelerated Drug Discovery with Docking on the Summit Supercomputer: Porting, Optimization, and Application to COVID-19 Research [J].
LeGrand, Scott ;
Scheinberg, Aaron ;
Tillack, Andreas F. ;
Thavappiragasam, Mathialakan ;
Vermaas, Josh V. ;
Agarwal, Rupesh ;
Larkin, Jeff ;
Poole, Duncan ;
Santos-Martins, Diogo ;
Solis-Vasquez, Leonardo ;
Koch, Andreas ;
Forli, Stefano ;
Hernandez, Oscar ;
Smith, Jeremy C. ;
Sedova, Ada .
ACM-BCB 2020 - 11TH ACM CONFERENCE ON BIOINFORMATICS, COMPUTATIONAL BIOLOGY, AND HEALTH INFORMATICS, 2020,
[55]   Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials [J].
Lin, Ann ;
Giuliano, Christopher J. ;
Palladino, Ann ;
John, Kristen M. ;
Abramowicz, Connor ;
Yuan, Monet Lou ;
Sausville, Erin L. ;
Lukow, Devon A. ;
Liu, Luwei ;
Chait, Alexander R. ;
Galluzzo, Zachary C. ;
Tucker, Clara ;
Sheltzer, Jason M. .
SCIENCE TRANSLATIONAL MEDICINE, 2019, 11 (509)
[56]   Identification of Small-Molecule Inhibitors of Fibroblast Growth Factor 23 Signaling via In Silico Hot Spot Prediction and Molecular Docking to α-Klotho [J].
Liu, Shih-Hsien ;
Xiao, Zhousheng ;
Mishra, Sambit K. ;
Mitchell, Julie C. ;
Smith, Jeremy C. ;
Quarles, L. Darryl ;
Petridis, Loukas .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2022, 62 (15) :3627-3637
[57]   A Practical Guide to Molecular Docking and Homology Modelling for Medicinal Chemists [J].
Lohning, Anna E. ;
Levonis, Stephan M. ;
Williams-Noonan, Billy ;
Schweiker, Stephanie S. .
CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2017, 17 (18) :2023-2040
[58]   Potential functional and pathological side effects related to off-target pharmacological activity [J].
Lynch, James J., III ;
Van Vleet, Terry R. ;
Mittelstadt, Scott W. ;
Blomme, Eric A. G. .
JOURNAL OF PHARMACOLOGICAL AND TOXICOLOGICAL METHODS, 2017, 87 :108-126
[59]   Ultra-large library docking for discovering new chemotypes [J].
Lyu, Jiankun ;
Wang, Sheng ;
Balius, Trent E. ;
Singh, Isha ;
Levit, Anat ;
Moroz, Yurii S. ;
O'Meara, Matthew J. ;
Che, Tao ;
Algaa, Enkhjargal ;
Tolmachova, Kateryna ;
Tolmachev, Andrey A. ;
Shoichet, Brian K. ;
Roth, Bryan L. ;
Irwin, John J. .
NATURE, 2019, 566 (7743) :224-+
[60]   Ensemble Docking from Homology Models [J].
Maria Novoa, Eva ;
Ribas de Pouplana, Lluis ;
Barril, Xavier ;
Orozco, Modesto .
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2010, 6 (08) :2547-2557