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 123 条
  • [71] Post-translational modifications in proteins: resources, tools and prediction methods
    Ramazi, Shahin
    Zahiri, Javad
    [J]. DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION, 2021,
  • [72] Recursion, Recursion Bridges the Protein and Chemical Space with Massive ProteinLigand Interaction Predictions Spanning 36 Billion Compounds
  • [73] Impact of benchmark data set topology on the validation of virtual screening methods: Exploration and quantification by spatial statistics
    Rohrer, Sebastian G.
    Baumann, Knut
    [J]. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2008, 48 (04) : 704 - 718
  • [74] The druggable genome: an update
    Russ, AP
    Lampel, S
    [J]. DRUG DISCOVERY TODAY, 2005, 10 (23-24) : 1607 - 1610
  • [75] Discovery of drugs that directly target the intrinsically disordered region of the androgen receptor
    Sadar, Marianne D.
    [J]. EXPERT OPINION ON DRUG DISCOVERY, 2020, 15 (05) : 551 - 560
  • [76] Molecular Docking: Challenges, Advances and its Use in Drug Discovery Perspective
    Saikia, Surovi
    Bordoloi, Manobjyoti
    [J]. CURRENT DRUG TARGETS, 2019, 20 (05) : 501 - 521
  • [77] Modeling conformational states of proteins with AlphaFold
    Sala, D.
    Engelberger, F.
    Mchaourab, H. S.
    Meiler, J.
    [J]. CURRENT OPINION IN STRUCTURAL BIOLOGY, 2023, 81
  • [78] Homology Modeling and Docking Studies of Bcl-2 and Bcl-xL with Small Molecule Inhibitors: Identification and Functional Studies
    Salam, Abdul Ajees Abdul
    Nayek, Upendra
    Sunil, Dhanya
    [J]. CURRENT TOPICS IN MEDICINAL CHEMISTRY, 2018, 18 (31) : 2633 - 2663
  • [79] Extended connectivity interaction features: improving binding affinity prediction through chemical description
    Sanchez-Cruz, Norberto
    Medina-Franco, Jose L.
    Mestres, Jordi
    Barril, Xavier
    [J]. BIOINFORMATICS, 2021, 37 (10) : 1376 - 1382
  • [80] A comprehensive map of molecular drug targets
    Santos, Rita
    Ursu, Oleg
    Gaulton, Anna
    Bento, A. Patricia
    Donadi, Ramesh S.
    Bologa, Cristian G.
    Karlsson, Anneli
    Al-Lazikani, Bissan
    Hersey, Anne
    Oprea, Tudor I.
    Overington, John P.
    [J]. NATURE REVIEWS DRUG DISCOVERY, 2017, 16 (01) : 19 - 34