Literature DB >> 31418662

Virtual Screening Techniques in Drug Discovery: Review and Recent Applications.

Sheisi F L da Silva Rocha1, Carolina G Olanda1, Harold H Fokoue2, Carlos M R Sant'Anna1,2,3.   

Abstract

The discovery of bioactive molecules is an expensive and time-consuming process and new strategies are continuously searched for in order to optimize this process. Virtual Screening (VS) is one of the recent strategies that has been explored for the identification of candidate bioactive molecules. The number of new techniques and software that can be applied in this strategy has grown considerably in recent years, so, before their use, it is necessary to understand the basics an also the limitations behind each one to get the most out of them. It is also necessary to assess the real contributions of this strategy so that more significant progress can be made in the future. In this context, this review aims to discuss some important points related to VS, including the use of virtual ligand and biotarget libraries, structurebased and ligand-based VS techniques, as well as to present recent cases where this strategy was successfully applied. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Keywords:  Database filtering; Drug design; Ligand based virtual screening; Model validation; Structure based virtual screening; Virtual libraries.

Mesh:

Substances:

Year:  2019        PMID: 31418662     DOI: 10.2174/1568026619666190816101948

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  13 in total

1.  Discovery, evaluation and mechanism study of WDR5-targeted small molecular inhibitors for neuroblastoma.

Authors:  Qi-Lei Han; Xiang-Lei Zhang; Peng-Xuan Ren; Liang-He Mei; Wei-Hong Lin; Lin Wang; Yu Cao; Kai Li; Fang Bai
Journal:  Acta Pharmacol Sin       Date:  2022-10-07       Impact factor: 7.169

2.  Machine learning on ligand-residue interaction profiles to significantly improve binding affinity prediction.

Authors:  Beihong Ji; Xibing He; Jingchen Zhai; Yuzhao Zhang; Viet Hoang Man; Junmei Wang
Journal:  Brief Bioinform       Date:  2021-09-02       Impact factor: 11.622

3.  Structure-Based Discovery of Dual-Target Hits for Acetylcholinesterase and the α7 Nicotinic Acetylcholine Receptors: In Silico Studies and In Vitro Confirmation.

Authors:  Sebastian Oddsson; Natalia M Kowal; Philip K Ahring; Elin S Olafsdottir; Thomas Balle
Journal:  Molecules       Date:  2020-06-22       Impact factor: 4.411

Review 4.  Artificial intelligence and big data facilitated targeted drug discovery.

Authors:  Benquan Liu; Huiqin He; Hongyi Luo; Tingting Zhang; Jingwei Jiang
Journal:  Stroke Vasc Neurol       Date:  2019-11-07

5.  Discovery of Novel IDH1 Inhibitor Through Comparative Structure-Based Virtual Screening.

Authors:  Yuwei Wang; Shuai Tang; Huanling Lai; Ruyi Jin; Xu Long; Na Li; Yuping Tang; Hui Guo; Xiaojun Yao; Elaine Lai-Han Leung
Journal:  Front Pharmacol       Date:  2020-11-11       Impact factor: 5.810

6.  Molecular Docking and Molecular Dynamics Aided Virtual Search of OliveNet™ Directory for Secoiridoids to Combat SARS-CoV-2 Infection and Associated Hyperinflammatory Responses.

Authors:  Neelaveni Thangavel; Mohammad Al Bratty; Hassan Ahmad Al Hazmi; Asim Najmi; Reem Othman Ali Alaqi
Journal:  Front Mol Biosci       Date:  2021-01-07

7.  wSDTNBI: a novel network-based inference method for virtual screening.

Authors:  Zengrui Wu; Hui Ma; Zehui Liu; Lulu Zheng; Zhuohang Yu; Shuying Cao; Wenqing Fang; Lili Wu; Weihua Li; Guixia Liu; Jin Huang; Yun Tang
Journal:  Chem Sci       Date:  2021-12-21       Impact factor: 9.825

8.  Screening of Big Pharma's Library against Various in-house Biological Targets.

Authors:  Damijan Knez; Stanislav Gobec; Martina Hrast
Journal:  Molecules       Date:  2022-07-13       Impact factor: 4.927

9.  Literature-Wide Association Studies (LWAS) for a Rare Disease: Drug Repurposing for Inflammatory Breast Cancer.

Authors:  Xiaojia Ji; Chunming Jin; Xialan Dong; Maria S Dixon; Kevin P Williams; Weifan Zheng
Journal:  Molecules       Date:  2020-08-28       Impact factor: 4.411

10.  Identification of Phytoconstituents as Potent Inhibitors of Casein Kinase-1 Alpha Using Virtual Screening and Molecular Dynamics Simulations.

Authors:  Alaa Shafie; Shama Khan; Taj Mohammad; Farah Anjum; Gulam Mustafa Hasan; Dharmendra Kumar Yadav; Md Imtaiyaz Hassan
Journal:  Pharmaceutics       Date:  2021-12-15       Impact factor: 6.321

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