JOURNAL ARTICLE

COMPUTER AIDED DRUG DESIGN: A MINI-REVIEW

Aateka Y Barrawaz

Year: 2020 Journal:   Journal of medical pharmaceutical and allied sciences Vol: 9 (5)Pages: 2584-2591

Abstract

New drug discovery and development process is considered much complex process which is time consuming and resources accommodating too. So computer aided drug design are being broadly used to enhance the effectiveness of the drug discovery and development process which ultimately saves time and resources. Various approaches to Computer aided drug design are evaluated to shows potential techniques in accordance with their needs. Two approaches are considered to designing of drug first one is structure-based and second one is Ligand based drug designs. In this review, we are discussing about highly effective and powerful techniques for drug discovery and development as well as various methods of Computer aided drug design like molecular docking at virtual screening for lead identification, QSAR, molecular homology, de-novo design, molecular modeling and optimization. It also elaborate about different software used in Computer aided drug design, different application of Computer aided drug design etc. Major objectives of Computer aided drug design are to commence collaborative foundation of research activities and to discover new chemical entities for novel therapeutics drugs

Keywords:
Computer-aided Computer science Drug Drug discovery Computer Aided Design Virtual screening Drug development Process (computing) Identification (biology) Software engineering Bioinformatics Pharmacology Medicine Biology

Metrics

1
Cited By
0.15
FWCI (Field Weighted Citation Impact)
0
Refs
0.55
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Computational Drug Discovery Methods
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Synthesis and biological activity
Physical Sciences →  Chemistry →  Organic Chemistry

Related Documents

JOURNAL ARTICLE

REVIEW ON COMPUTER AIDED DRUG DESIGN

Payal Rani Chaudhary Arya Mudgal

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2022
JOURNAL ARTICLE

REVIEW ON COMPUTER AIDED DRUG DESIGN

Arya Mudgal*, Payal Rani Chaudhary*, Anirudh Nautiyal* , Bandana* , Sahastra*, Shaifi Tangri*

Journal:   Zenodo (CERN European Organization for Nuclear Research) Year: 2022
JOURNAL ARTICLE

Computer-Aided Drug Design

Journal:   Comparative Biochemistry and Physiology Part A Physiology Year: 1990 Vol: 96 (4)Pages: 530-530
© 2026 ScienceGate Book Chapters — All rights reserved.