Literature DB >> 12415248

Integration of virtual and high-throughput screening.

Jürgen Bajorath1.   

Abstract

High-throughput and virtual screening are important components of modern drug discovery research. Typically, these screening technologies are considered distinct approaches, as one is experimental and the other is theoretical in nature. However, given their similar tasks and goals, these approaches are much more complementary to each other than often thought. Various statistical, informatics and filtering methods have recently been introduced to foster the integration of experimental and in silico screening and maximize their output in drug discovery. Although many of these ideas and efforts have not yet proceeded much beyond the conceptual level, there are several success stories and good indications that early-stage drug discovery will benefit greatly from a more unified and knowledge-based approach to biological screening, despite the many technical advances towards even higher throughput that are made in the screening arena.

Mesh:

Year:  2002        PMID: 12415248     DOI: 10.1038/nrd941

Source DB:  PubMed          Journal:  Nat Rev Drug Discov        ISSN: 1474-1776            Impact factor:   84.694


  123 in total

1.  Making virtual screening a reality.

Authors:  John T Koh
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-02       Impact factor: 11.205

2.  A novel scoring function for molecular docking.

Authors:  A E Muryshev; D N Tarasov; A V Butygin; O Yu Butygina; A B Aleksandrov; S M Nikitin
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

3.  G protein-coupled receptors: in silico drug discovery in 3D.

Authors:  Oren M Becker; Yael Marantz; Sharon Shacham; Boaz Inbal; Alexander Heifetz; Ori Kalid; Shay Bar-Haim; Dora Warshaviak; Merav Fichman; Silvia Noiman
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-26       Impact factor: 11.205

4.  Integrating computational and mixture-based screening of combinatorial libraries.

Authors:  Austin B Yongye; Clemencia Pinilla; Jose L Medina-Franco; Marc A Giulianotti; Colette T Dooley; Jon R Appel; Adel Nefzi; Thomas Scior; Richard A Houghten; Karina Martínez-Mayorga
Journal:  J Mol Model       Date:  2010-09-21       Impact factor: 1.810

Review 5.  Asparagine synthetase chemotherapy.

Authors:  Nigel G J Richards; Michael S Kilberg
Journal:  Annu Rev Biochem       Date:  2006       Impact factor: 23.643

Review 6.  Exploring biology with small organic molecules.

Authors:  Brent R Stockwell
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

7.  Surrogate docking: structure-based virtual screening at high throughput speed.

Authors:  Sukjoon Yoon; Andrew Smellie; David Hartsough; Anton Filikov
Journal:  J Comput Aided Mol Des       Date:  2005-11-16       Impact factor: 3.686

Review 8.  Strategies for targeting the cardiac sarcomere: avenues for novel drug discovery.

Authors:  Joshua B Holmes; Chang Yoon Doh; Ranganath Mamidi; Jiayang Li; Julian E Stelzer
Journal:  Expert Opin Drug Discov       Date:  2020-02-18       Impact factor: 6.098

9.  Drug Screening of Potential Multiple Target Inhibitors for Estrogen Receptor-α-positive Breast Cancer.

Authors:  Juan-Cheng Yang; Yang-Chang Wu; Yun-Hao Dai; Guan-Yu Chen; Chih-Hsin Tang; Wei-Chien Huang
Journal:  In Vivo       Date:  2021 Mar-Apr       Impact factor: 2.155

10.  Benchmarking methods and data sets for ligand enrichment assessment in virtual screening.

Authors:  Jie Xia; Ermias Lemma Tilahun; Terry-Elinor Reid; Liangren Zhang; Xiang Simon Wang
Journal:  Methods       Date:  2014-12-03       Impact factor: 3.608

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