D3R grand challenge 4: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies

被引:0
|
作者
Conor D. Parks
Zied Gaieb
Michael Chiu
Huanwang Yang
Chenghua Shao
W. Patrick Walters
Johanna M. Jansen
Georgia McGaughey
Richard A. Lewis
Scott D. Bembenek
Michael K. Ameriks
Tara Mirzadegan
Stephen K. Burley
Rommie E. Amaro
Michael K. Gilson
机构
[1] University of California,Drug Design Data Resource
[2] San Diego,RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers
[3] The State University of New Jersey,San Diego Supercomputer Center
[4] University of California,Department of Chemistry and Biochemistry
[5] San Diego,undefined
[6] Relay Therapeutics,undefined
[7] Novartis Institutes for BioMedical Research,undefined
[8] Vertex Pharmaceuticals Inc,undefined
[9] Novartis Institutes for BioMedical Research,undefined
[10] Novartis Pharma AG,undefined
[11] Denovicon Therapeutics,undefined
[12] Janssen Research & Development,undefined
[13] UC San Diego,undefined
[14] Skaggs School of Pharmacy and Pharmaceutical Sciences,undefined
[15] UC San Diego,undefined
关键词
D3R; Docking; Scoring; Ligand ranking; Free-energy; Blinded prediction challenge;
D O I
暂无
中图分类号
学科分类号
摘要
The Drug Design Data Resource (D3R) aims to identify best practice methods for computer aided drug design through blinded ligand pose prediction and affinity challenges. Herein, we report on the results of Grand Challenge 4 (GC4). GC4 focused on proteins beta secretase 1 and Cathepsin S, and was run in an analogous manner to prior challenges. In Stage 1, participant ability to predict the pose and affinity of BACE1 ligands were assessed. Following the completion of Stage 1, all BACE1 co-crystal structures were released, and Stage 2 tested affinity rankings with co-crystal structures. We provide an analysis of the results and discuss insights into determined best practice methods.
引用
收藏
页码:99 / 119
页数:20
相关论文
共 50 条
  • [1] D3R grand challenge 4: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies
    Parks, Conor D.
    Gaieb, Zied
    Chiu, Michael
    Yang, Huanwang
    Shao, Chenghua
    Walters, W. Patrick
    Jansen, Johanna M.
    McGaughey, Georgia
    Lewis, Richard A.
    Bembenek, Scott D.
    Ameriks, Michael K.
    Mirzadegan, Tara
    Burley, Stephen K.
    Amaro, Rommie E.
    Gilson, Michael K.
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2020, 34 (02) : 99 - 119
  • [2] D3R Grand Challenge 2: blind prediction of protein–ligand poses, affinity rankings, and relative binding free energies
    Zied Gaieb
    Shuai Liu
    Symon Gathiaka
    Michael Chiu
    Huanwang Yang
    Chenghua Shao
    Victoria A. Feher
    W. Patrick Walters
    Bernd Kuhn
    Markus G. Rudolph
    Stephen K. Burley
    Michael K. Gilson
    Rommie E. Amaro
    [J]. Journal of Computer-Aided Molecular Design, 2018, 32 : 1 - 20
  • [3] D3R Grand Challenge 2: blind prediction of protein-ligand poses, affinity rankings, and relative binding free energies
    Gaieb, Zied
    Liu, Shuai
    Gathiaka, Symon
    Chiu, Michael
    Yang, Huanwang
    Shao, Chenghua
    Feher, Victoria A.
    Walters, W. Patrick
    Kuhn, Bernd
    Rudolph, Markus G.
    Burley, Stephen K.
    Gilson, Michael K.
    Amaro, Rommie E.
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2018, 32 (01) : 1 - 20
  • [4] D3R Grand Challenge 3: blind prediction of protein–ligand poses and affinity rankings
    Zied Gaieb
    Conor D. Parks
    Michael Chiu
    Huanwang Yang
    Chenghua Shao
    W. Patrick Walters
    Millard H. Lambert
    Neysa Nevins
    Scott D. Bembenek
    Michael K. Ameriks
    Tara Mirzadegan
    Stephen K. Burley
    Rommie E. Amaro
    Michael K. Gilson
    [J]. Journal of Computer-Aided Molecular Design, 2019, 33 : 1 - 18
  • [5] D3R Grand Challenge 3: blind prediction of protein-ligand poses and affinity rankings
    Gaieb, Zied
    Parks, Conor D.
    Chiu, Michael
    Yang, Huanwang
    Shao, Chenghua
    Walters, W. Patrick
    Lambert, Millard H.
    Nevins, Neysa
    Bembenek, Scott D.
    Ameriks, Michael K.
    Mirzadegan, Tara
    Burley, Stephen K.
    Amaro, Rommie E.
    Gilson, Michael K.
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2019, 33 (01) : 1 - 18
  • [6] D3R Grand Challenge 4: Blind prediction of protein-ligand poses and affinity predictions
    Gaieb, Zied
    Parks, Conor
    Chiu, Michael
    Yang, Huanwang
    Shao, Chenghua
    Walters, Patrick
    Lewis, Richard
    Bembenek, Scott
    Burley, Stephen
    Amaro, Rommie
    Gilson, Michael
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2019, 258
  • [7] D3R 2015 grand challenge: Assessment of prediction of binding poses and affinity rankings of blinded unpublished datasets
    Gathiaka, Symon
    Chiu, Michael
    Grethe, Jeffrey
    Amaro, Rommie
    Feher, Victoria
    Gilson, Michael
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [8] Protein–ligand pose and affinity prediction: Lessons from D3R Grand Challenge 3
    Panagiotis I. Koukos
    Li C. Xue
    Alexandre M. J. J. Bonvin
    [J]. Journal of Computer-Aided Molecular Design, 2019, 33 : 83 - 91
  • [9] Blinded prediction of protein–ligand binding affinity using Amber thermodynamic integration for the 2018 D3R grand challenge 4
    Junjie Zou
    Chuan Tian
    Carlos Simmerling
    [J]. Journal of Computer-Aided Molecular Design, 2019, 33 : 1021 - 1029
  • [10] Protein-ligand pose and affinity prediction: Lessons from D3R Grand Challenge 3
    Koukos, Panagiotis I.
    Xue, Li C.
    Bonvin, Alexandre M. J. J.
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2019, 33 (01) : 83 - 91