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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.
Afiliação
  • Parks CD; Drug Design Data Resource, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Gaieb Z; Drug Design Data Resource, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Chiu M; Drug Design Data Resource, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Yang H; RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08903, USA.
  • Shao C; San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, 92093, USA.
  • Walters WP; RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08903, USA.
  • Jansen JM; San Diego Supercomputer Center, University of California, San Diego, La Jolla, CA, 92093, USA.
  • McGaughey G; Relay Therapeutics, Cambridge, MA, 20139, USA.
  • Lewis RA; Novartis Institutes for BioMedical Research, Emeryville, CA, 94608, USA.
  • Bembenek SD; Vertex Pharmaceuticals Inc, 50 Northern Ave, Boston, MA, 02210, USA.
  • Ameriks MK; Novartis Institutes for BioMedical Research, Novartis Pharma AG, 4002, Basel, Switzerland.
  • Mirzadegan T; Denovicon Therapeutics, San Diego, CA, 92130, USA.
  • Burley SK; Janssen Research & Development, San Diego, CA, 92121, USA.
  • Amaro RE; Janssen Research & Development, San Diego, CA, 92121, USA.
  • Gilson MK; RCSB Protein Data Bank, Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08903, USA.
J Comput Aided Mol Des ; 34(2): 99-119, 2020 02.
Article em En | MEDLINE | ID: mdl-31974851
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desenho de Fármacos / Ácido Aspártico Endopeptidases / Inibidores Enzimáticos / Secretases da Proteína Precursora do Amiloide / Bibliotecas de Moléculas Pequenas Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Comput Aided Mol Des Assunto da revista: BIOLOGIA MOLECULAR / ENGENHARIA BIOMEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Desenho de Fármacos / Ácido Aspártico Endopeptidases / Inibidores Enzimáticos / Secretases da Proteína Precursora do Amiloide / Bibliotecas de Moléculas Pequenas Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Comput Aided Mol Des Assunto da revista: BIOLOGIA MOLECULAR / ENGENHARIA BIOMEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos