Literature DB >> 21936510

SERAPhiC: a benchmark for in silico fragment-based drug design.

Angelo D Favia1, Giovanni Bottegoni, Irene Nobeli, Paola Bisignano, Andrea Cavalli.   

Abstract

Our main objective was to compile a data set of high-quality protein-fragment complexes and make it publicly available. Once assembled, the data set was challenged using docking procedures to address the following questions: (i) Can molecular docking correctly reproduce the experimentally solved structures? (ii) How thorough must the sampling be to replicate the experimental data? (iii) Can commonly used scoring functions discriminate between the native pose and other energy minima? The data set, named SERAPhiC (Selected Fragment Protein Complexes), is publicly available in a ready-to-dock format ( http://www.iit.it/en/drug-discovery-and-development/seraphic.html ). It offers computational medicinal chemists a reliable test set for both in silico protocol assessment and software development.

Mesh:

Substances:

Year:  2011        PMID: 21936510     DOI: 10.1021/ci2003363

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  2 in total

1.  FastGrow: on-the-fly growing and its application to DYRK1A.

Authors:  Patrick Penner; Virginie Martiny; Louis Bellmann; Florian Flachsenberg; Marcus Gastreich; Isabelle Theret; Christophe Meyer; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2022-08-22       Impact factor: 4.179

2.  CSAR data set release 2012: ligands, affinities, complexes, and docking decoys.

Authors:  James B Dunbar; Richard D Smith; Kelly L Damm-Ganamet; Aqeel Ahmed; Emilio Xavier Esposito; James Delproposto; Krishnapriya Chinnaswamy; You-Na Kang; Ginger Kubish; Jason E Gestwicki; Jeanne A Stuckey; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2013-05-10       Impact factor: 4.956

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.