Literature DB >> 34303871

Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review.

Victor T Sabe1, Thandokuhle Ntombela2, Lindiwe A Jhamba3, Glenn E M Maguire4, Thavendran Govender5, Tricia Naicker6, Hendrik G Kruger7.   

Abstract

Computer-aided drug design (CADD) is one of the pivotal approaches to contemporary pre-clinical drug discovery, and various computational techniques and software programs are typically used in combination, in a bid to achieve the desired outcome. Several approved drugs have been developed with the aid of CADD. On SciFinder®, we evaluated more than 600 publications through systematic searching and refining, using the terms, virtual screening; software methods; computational studies and publication year, in order to obtain data concerning particular aspects of CADD. The primary focus of this review was on the databases screened, virtual screening and/or molecular docking software program used. Furthermore, we evaluated the studies that subsequently performed molecular dynamics (MD) simulations and we reviewed the software programs applied, the application of density functional theory (DFT) calculations and experimental assays. To represent the latest trends, the most recent data obtained was between 2015 and 2020, consequently the most frequently employed techniques and software programs were recorded. Among these, the ZINC database was the most widely preferred with an average use of 31.2%. Structure-based virtual screening (SBVS) was the most prominently used type of virtual screening and it accounted for an average of 57.6%, with AutoDock being the preferred virtual screening/molecular docking program with 41.8% usage. Following the screening process, 38.5% of the studies performed MD simulations to complement the virtual screening and GROMACS with 39.3% usage, was the popular MD software program. Among the computational techniques, DFT was the least applied whereby it only accounts for 0.02% average use. An average of 36.5% of the studies included reports on experimental evaluations following virtual screening. Ultimately, since the inception and application of CADD in pre-clinical drug discovery, more than 70 approved drugs have been discovered, and this number is steadily increasing over time.
Copyright © 2021 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Computational studies; Computer-aided drug design; Software programs; Virtual screening

Mesh:

Year:  2021        PMID: 34303871     DOI: 10.1016/j.ejmech.2021.113705

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  25 in total

1.  The performance of ensemble-based free energy protocols in computing binding affinities to ROS1 kinase.

Authors:  Shunzhou Wan; Agastya P Bhati; David W Wright; Alexander D Wade; Gary Tresadern; Herman van Vlijmen; Peter V Coveney
Journal:  Sci Rep       Date:  2022-06-21       Impact factor: 4.996

Review 2.  Insights into the Pharmacological Effects of Flavonoids: The Systematic Review of Computer Modeling.

Authors:  Amir Taldaev; Roman Terekhov; Ilya Nikitin; Anastasiya Zhevlakova; Irina Selivanova
Journal:  Int J Mol Sci       Date:  2022-05-27       Impact factor: 6.208

3.  Based on Network Pharmacology and Molecular Dynamics Simulations, Baicalein, an Active Ingredient of Yiqi Qingre Ziyin Method, Potentially Protects Patients With Atrophic Rhinitis From Cognitive Impairment.

Authors:  Xueran Kang; Yuxing Sun; Bin Yi; Chenyan Jiang; Xiaojun Yan; Bin Chen; Lixing Lu; Fangze Shi; Yuanbo Luo; Yisheng Chen; Qian Wang; Runjie Shi
Journal:  Front Aging Neurosci       Date:  2022-06-10       Impact factor: 5.702

Review 4.  From Traditional Ethnopharmacology to Modern Natural Drug Discovery: A Methodology Discussion and Specific Examples.

Authors:  Stergios Pirintsos; Athanasios Panagiotopoulos; Michalis Bariotakis; Vangelis Daskalakis; Christos Lionis; George Sourvinos; Ioannis Karakasiliotis; Marilena Kampa; Elias Castanas
Journal:  Molecules       Date:  2022-06-24       Impact factor: 4.927

5.  In silico investigations identified Butyl Xanalterate to competently target CK2α (CSNK2A1) for therapy of chronic lymphocytic leukemia.

Authors:  Suliman A Alsagaby; Danish Iqbal; Iqrar Ahmad; Harun Patel; Shabir Ahmad Mir; Yahya Awaji Madkhali; Atif Abdulwahab A Oyouni; Yousef M Hawsawi; Fahad A Alhumaydhi; Bader Alshehri; Wael Alturaiki; Bader Alanazi; Manzoor Ahmad Mir; Waleed Al Abdulmonem
Journal:  Sci Rep       Date:  2022-10-21       Impact factor: 4.996

6.  An in silico pipeline for the discovery of multitarget ligands: A case study for epi-polypharmacology based on DNMT1/HDAC2 inhibition.

Authors:  Fernando D Prieto-Martínez; Eli Fernández-de Gortari; José L Medina-Franco; L Michel Espinoza-Fonseca
Journal:  Artif Intell Life Sci       Date:  2021-09-12

7.  Cytotoxic and Antifungal Amides Derived from Ferulic Acid: Molecular Docking and Mechanism of Action.

Authors:  Mayara Castro de Morais; Yunierkis Perez-Castillo; Valdenizia Rodrigues Silva; Luciano de Souza Santos; Milena Botelho Pereira Soares; Daniel Pereira Bezerra; Ricardo Dias de Castro; Damião Pergentino de Sousa
Journal:  Biomed Res Int       Date:  2021-11-01       Impact factor: 3.411

Review 8.  Photopharmacology of Ion Channels through the Light of the Computational Microscope.

Authors:  Alba Nin-Hill; Nicolas Pierre Friedrich Mueller; Carla Molteni; Carme Rovira; Mercedes Alfonso-Prieto
Journal:  Int J Mol Sci       Date:  2021-11-08       Impact factor: 5.923

9.  Targeting Cytotoxin-Associated Antigen A, a Virulent Factor of Helicobacter pylori-Associated Gastric Cancer: Structure-Based In Silico Screening of Natural Compounds.

Authors:  Shan He; Abdulraheem Ali Almalki; Misbahuddin M Rafeeq; Ziaullah M Sain; Amany I Alqosaibi; Mashael M Alnamshan; Ibtesam S Al-Dhuayan; Abdul Rahaman; Yang Zhang; Hamsa Jameel Banjer; Farah Anjum; Haitham Ali M Alzghaibi; Ali H Alharbi; Qazi Mohammad Sajid Jamal
Journal:  Molecules       Date:  2022-01-23       Impact factor: 4.411

10.  ER/AR Multi-Conformational Docking Server: A Tool for Discovering and Studying Estrogen and Androgen Receptor Modulators.

Authors:  Feng Wang; Shuai Hu; De-Qing Ma; Qiuye Li; Hong-Cheng Li; Jia-Yi Liang; Shan Chang; Ren Kong
Journal:  Front Pharmacol       Date:  2022-01-24       Impact factor: 5.810

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