Literature DB >> 19275536

Docking-based virtual screening: recent developments.

Tiziano Tuccinardi1.   

Abstract

Virtual (database) screening (VS) of molecules promises to accelerate the discovery of new drugs and reduce costs by identifying molecules with high probabilities of binding to a target receptor. The large amount of available protein X-ray crystal structures, together with the development of more effective homology modelling techniques, has led recently to a steep increase in docking-based VS studies. This approach needs computational fitting of molecules into a receptor active site using advanced algorithms, followed by the scoring and ranking of these molecules to identify potential leads. In this review, the main published docking-based VS studies developed over the last eight years are investigated, and details are provided about the software used, the results achieved and the novel methods employed.

Mesh:

Substances:

Year:  2009        PMID: 19275536     DOI: 10.2174/138620709787581666

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  19 in total

Review 1.  Computer tools in the discovery of HIV-1 integrase inhibitors.

Authors:  Chenzhong Liao; Marc C Nicklaus
Journal:  Future Med Chem       Date:  2010-07       Impact factor: 3.808

2.  Phenylpropanoids and flavonoids from Phlomis kurdica as inhibitors of human lactate dehydrogenase.

Authors:  Ammar Bader; Tiziano Tuccinardi; Carlotta Granchi; Adriano Martinelli; Marco Macchia; Filippo Minutolo; Nunziatina De Tommasi; Alessandra Braca
Journal:  Phytochemistry       Date:  2015-04-15       Impact factor: 4.072

3.  Investigating combinatorial approaches in virtual screening on human inducible 6-phosphofructo-2-kinase/fructose-2,6-bisphosphatase (PFKFB3): a case study for small molecule kinases.

Authors:  Robert B Crochet; Michael C Cavalier; Minsuh Seo; Jeong Do Kim; Young-Sun Yim; Seung-Jong Park; Yong-Hwan Lee
Journal:  Anal Biochem       Date:  2011-07-02       Impact factor: 3.365

4.  Design of new secreted phospholipase A2 inhibitors based on docking calculations by modifying the pharmacophore segments of the FPL67047XX inhibitor.

Authors:  Varnavas D Mouchlis; Thomas M Mavromoustakos; George Kokotos
Journal:  J Comput Aided Mol Des       Date:  2010-02-04       Impact factor: 3.686

5.  The Development of Target-Specific Pose Filter Ensembles To Boost Ligand Enrichment for Structure-Based Virtual Screening.

Authors:  Jie Xia; Jui-Hua Hsieh; Huabin Hu; Song Wu; Xiang Simon Wang
Journal:  J Chem Inf Model       Date:  2017-06-01       Impact factor: 4.956

6.  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

7.  Maximal Unbiased Benchmarking Data Sets for Human Chemokine Receptors and Comparative Analysis.

Authors:  Jie Xia; Terry-Elinor Reid; Song Wu; Liangren Zhang; Xiang Simon Wang
Journal:  J Chem Inf Model       Date:  2018-05-08       Impact factor: 4.956

8.  IVSPlat 1.0: an integrated virtual screening platform with a molecular graphical interface.

Authors:  Yin Xue Sun; Yan Xin Huang; Feng Li Li; Hong Yan Wang; Cong Fan; Yong Li Bao; Lu Guo Sun; Zhi Qiang Ma; Jun Kong; Yu Xin Li
Journal:  Chem Cent J       Date:  2012-01-05       Impact factor: 4.215

Review 9.  Structure-based virtual screening for drug discovery: a problem-centric review.

Authors:  Tiejun Cheng; Qingliang Li; Zhigang Zhou; Yanli Wang; Stephen H Bryant
Journal:  AAPS J       Date:  2012-01-27       Impact factor: 4.009

10.  Application of consensus scoring and principal component analysis for virtual screening against β-secretase (BACE-1).

Authors:  Shu Liu; Rao Fu; Li-Hua Zhou; Sheng-Ping Chen
Journal:  PLoS One       Date:  2012-06-11       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.