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.
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页数:10
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共 123 条
  • [1] Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19
    Acharya, A.
    Agarwal, R.
    Baker, M. B.
    Baudry, J.
    Bhowmik, D.
    Boehm, S.
    Byler, K. G.
    Chen, S. Y.
    Coates, L.
    Cooper, C. J.
    Demerdash, O.
    Daidone, I
    Eblen, J. D.
    Ellingson, S.
    Forli, S.
    Glaser, J.
    Gumbart, J. C.
    Gunnels, J.
    Hernandez, O.
    Irle, S.
    Kneller, D. W.
    Kovalevsky, A.
    Larkin, J.
    Lawrence, T. J.
    LeGrand, S.
    Liu, S-H
    Mitchell, J. C.
    Park, G.
    Parks, J. M.
    Pavlova, A.
    Petridis, L.
    Poole, D.
    Pouchard, L.
    Ramanathan, A.
    Rogers, D. M.
    Santos-Martins, D.
    Scheinberg, A.
    Sedova, A.
    Shen, Y.
    Smith, J. C.
    Smith, M. D.
    Soto, C.
    Tsaris, A.
    Thavappiragasam, M.
    Tillack, A. F.
    Vermaas, J. V.
    Vuong, V. Q.
    Yin, J.
    Yoo, S.
    Zahran, M.
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2020, 60 (12) : 5832 - 5852
  • [2] Machine learning classification can reduce false positives in structure-based virtual screening
    Adeshina, Yusuf O.
    Deeds, Eric J.
    Karanicolas, John
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2020, 117 (31) : 18477 - 18488
  • [3] A high-stringency blueprint of the human proteome
    Adhikari, Subash
    Nice, Edouard C.
    Deutsch, Eric W.
    Lane, Lydie
    Omenn, Gilbert S.
    Pennington, Stephen R.
    Paik, Young-Ki
    Overall, Christopher M.
    Corrales, Fernando J.
    Cristea, Ileana M.
    Van Eyk, Jennifer E.
    Uhlen, Mathias
    Lindskog, Cecilia
    Chan, Daniel W.
    Bairoch, Amos
    Waddington, James C.
    Justice, Joshua L.
    LaBaer, Joshua
    Rodriguez, Henry
    He, Fuchu
    Kostrzewa, Markus
    Ping, Peipei
    Gundry, Rebekah L.
    Stewart, Peter
    Srivastava, Sanjeeva
    Srivastava, Sudhir
    Nogueira, Fabio C. S.
    Domont, Gilberto B.
    Vandenbrouck, Yves
    Lam, Maggie P. Y.
    Wennersten, Sara
    Vizcaino, Juan Antonio
    Wilkins, Marc
    Schwenk, Jochen M.
    Lundberg, Emma
    Bandeira, Nuno
    Marko-Varga, Gyorgy
    Weintraub, Susan T.
    Pineau, Charles
    Kusebauch, Ulrike
    Moritz, Robert L.
    Ahn, Seong Beom
    Palmblad, Magnus
    Snyder, Michael P.
    Aebersold, Ruedi
    Baker, Mark S.
    [J]. NATURE COMMUNICATIONS, 2020, 11 (01)
  • [4] Understanding the challenges of protein flexibility in drug design
    Antunes, Dinler A.
    Devaurs, Didier
    Kavraki, Lydia E.
    [J]. EXPERT OPINION ON DRUG DISCOVERY, 2015, 10 (12) : 1301 - 1313
  • [5] Binding of small molecules to an adaptive protein-protein interface
    Arkin, MR
    Randal, M
    DeLano, WL
    Hyde, J
    Luong, TN
    Oslob, JD
    Raphael, DR
    Taylor, L
    Wang, J
    McDowell, RS
    Wells, JA
    Braisted, AC
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (04) : 1603 - 1608
  • [6] Task-Specific Scoring Functions for Predicting Ligand Binding Poses and Affinity and for Screening Enrichment
    Ashtawy, Hossam M.
    Mahapatra, Nihar R.
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2018, 58 (01) : 119 - 133
  • [7] Deep learning and protein structure modeling
    Baek, Minkyung
    Baker, David
    [J]. NATURE METHODS, 2022, 19 (01) : 13 - 14
  • [8] Accurate prediction of protein structures and interactions using a three-track neural network
    Baek, Minkyung
    DiMaio, Frank
    Anishchenko, Ivan
    Dauparas, Justas
    Ovchinnikov, Sergey
    Lee, Gyu Rie
    Wang, Jue
    Cong, Qian
    Kinch, Lisa N.
    Schaeffer, R. Dustin
    Millan, Claudia
    Park, Hahnbeom
    Adams, Carson
    Glassman, Caleb R.
    DeGiovanni, Andy
    Pereira, Jose H.
    Rodrigues, Andria V.
    van Dijk, Alberdina A.
    Ebrecht, Ana C.
    Opperman, Diederik J.
    Sagmeister, Theo
    Buhlheller, Christoph
    Pavkov-Keller, Tea
    Rathinaswamy, Manoj K.
    Dalwadi, Udit
    Yip, Calvin K.
    Burke, John E.
    Garcia, K. Christopher
    Grishin, Nick V.
    Adams, Paul D.
    Read, Randy J.
    Baker, David
    [J]. SCIENCE, 2021, 373 (6557) : 871 - +
  • [9] A machine learning approach to predicting protein-ligand binding affinity with applications to molecular docking
    Ballester, Pedro J.
    Mitchell, John B. O.
    [J]. BIOINFORMATICS, 2010, 26 (09) : 1169 - 1175
  • [10] UniProt: a worldwide hub of protein knowledge
    Bateman, Alex
    Martin, Maria-Jesus
    Orchard, Sandra
    Magrane, Michele
    Alpi, Emanuele
    Bely, Benoit
    Bingley, Mark
    Britto, Ramona
    Bursteinas, Borisas
    Busiello, Gianluca
    Bye-A-Jee, Hema
    Da Silva, Alan
    De Giorgi, Maurizio
    Dogan, Tunca
    Castro, Leyla Garcia
    Garmiri, Penelope
    Georghiou, George
    Gonzales, Daniel
    Gonzales, Leonardo
    Hatton-Ellis, Emma
    Ignatchenko, Alexandr
    Ishtiaq, Rizwan
    Jokinen, Petteri
    Joshi, Vishal
    Jyothi, Dushyanth
    Lopez, Rodrigo
    Luo, Jie
    Lussi, Yvonne
    MacDougall, Alistair
    Madeira, Fabio
    Mahmoudy, Mahdi
    Menchi, Manuela
    Nightingale, Andrew
    Onwubiko, Joseph
    Palka, Barbara
    Pichler, Klemens
    Pundir, Sangya
    Qi, Guoying
    Raj, Shriya
    Renaux, Alexandre
    Lopez, Milagros Rodriguez
    Saidi, Rabie
    Sawford, Tony
    Shypitsyna, Aleksandra
    Speretta, Elena
    Turner, Edward
    Tyagi, Nidhi
    Vasudev, Preethi
    Volynkin, Vladimir
    Wardell, Tony
    [J]. NUCLEIC ACIDS RESEARCH, 2019, 47 (D1) : D506 - D515