Decoding Drug Discovery: Exploring A-to-Z In Silico Methods for Beginners.

Autor: Rasul HO; Department of Pharmaceutical Chemistry, College of Science, Charmo University, Peshawa Street, Chamchamal, 46023, Sulaimani, Iraq. hezha.rasul@chu.edu.iq., Ghafour DD; Department of Medical Laboratory Science, College of Science, Komar University of Science and Technology, 46001, Sulaimani, Iraq.; Department of Chemistry, College of Science, University of Sulaimani, 46001, Sulaimani, Iraq., Aziz BK; Department of Nanoscience and Applied Chemistry, College of Science, Charmo University, Peshawa Street, Chamchamal, 46023, Sulaimani, Iraq., Hassan BA; Computer Science and Engineering Department, School of Science and Engineering, University of Kurdistan Hewler, KRI, Iraq.; Department of Computer Science, College of Science, Charmo University, Peshawa Street, Chamchamal, 46023, Sulaimani, Iraq., Rashid TA; Computer Science and Engineering Department, School of Science and Engineering, University of Kurdistan Hewler, KRI, Iraq., Kivrak A; Department of Chemistry, Faculty of Sciences and Arts, Eskisehir Osmangazi University, Eskişehir, 26040, Turkey.
Jazyk: angličtina
Zdroj: Applied biochemistry and biotechnology [Appl Biochem Biotechnol] 2024 Dec 04. Date of Electronic Publication: 2024 Dec 04.
DOI: 10.1007/s12010-024-05110-2
Abstrakt: The drug development process is a critical challenge in the pharmaceutical industry due to its time-consuming nature and the need to discover new drug potentials to address various ailments. The initial step in drug development, drug target identification, often consumes considerable time. While valid, traditional methods such as in vivo and in vitro approaches are limited in their ability to analyze vast amounts of data efficiently, leading to wasteful outcomes. To expedite and streamline drug development, an increasing reliance on computer-aided drug design (CADD) approaches has merged. These sophisticated in silico methods offer a promising avenue for efficiently identifying viable drug candidates, thus providing pharmaceutical firms with significant opportunities to uncover new prospective drug targets. The main goal of this work is to review in silico methods used in the drug development process with a focus on identifying therapeutic targets linked to specific diseases at the genetic or protein level. This article thoroughly discusses A-to-Z in silico techniques, which are essential for identifying the targets of bioactive compounds and their potential therapeutic effects. This review intends to improve drug discovery processes by illuminating the state of these cutting-edge approaches, thereby maximizing the effectiveness and duration of clinical trials for novel drug target investigation.
Competing Interests: Declarations. Ethical Approval: This article does not contain any study with human participants or animals performed by any authors. Conflict of Interest: The author has no relevant financial or non-financial interests to disclose.
(© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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