Skip to content
Research Article Open access CC BY 4.0

The Synergy of Molecular Docking and Bioinformatics: An in Depth Review in Drug Discovery

Okpo, E. A., Agboke, A. A., Udobi, C. E., John, G. E., Andy, I. E.

Biotechnology Journal International · pp. 119–136 · Published 25 Jul 2024

10.9734/bji/2024/v28i4732

Abstract

Molecular docking and bioinformatics have emerged as pivotal tools in the realm of drug discovery, significantly transforming the landscape of pharmaceutical research and development. These computational techniques enable scientists to predict, analyze, and expedite the identification of potential drug candidates with remarkable precision and efficiency. Molecular docking facilitates the virtual screening of vast compound libraries, offering a cost-effective means of selecting promising lead compounds for further study. Bioinformatics, on the other hand, harnesses the power of biological data analysis, encompassing genomics, proteomics, and other omics fields to elucidate disease mechanisms, identify drug targets, and advance personalized medicine. Recent innovations, including the integration of artificial intelligence, cryo-electron microscopy, and quantum computing, are poised to propel these tools further into the future of drug discovery. However, alongside these advancements, ethical and regulatory considerations regarding data privacy, algorithmic fairness, transparency, and adherence to legal and ethical guidelines must be carefully navigated. Striking a harmonious balance between innovation and ethical practice is paramount as molecular docking and bioinformatics continue to reshape the landscape of healthcare and pharmaceutical research.

Molecular docking bioinformatics drugs discovery bioavailability

Cited by 11

A review of the current trends in computational approaches in drug design and metabolism

Russell B. O. Ouma, Silas M. Ngari, Joshua K. Kibet · Discover Public Health · 2024

Molecular Docking and Antihypertensive Activity of Eupalitin 3-O-β-D-galactopyranoside Isolated from Boerhavia diffusa Linn

Ilyas Uoorakkottil, Rashid Koottangodan, Kamal Y. Thajudheen · Pharmaceutics · 2024

Advances in the Design of Novel Antidiabetic Agents Using In-silico Approaches

Sanket Jadhav, Pranali Yeram, Rajasekhar Reddy Alavala · Applications of Computational Tools in Drug Design and Development · 2025

Showing 9 of 11 known citations — external sources report more than can currently be individually listed.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

11

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.