生物信息学的发展及其对21世纪现代生物科学的影响:特别关注药理学、植物科学和药物发现

IF 3.1 Q2 TOXICOLOGY
Debasis Mitra , Debanjan Mitra , Mohamed Sabri Bensaad , Somya Sinha , Kumud Pant , Manu Pant , Ankita Priyadarshini , Pallavi Singh , Saliha Dassamiour , Leila Hambaba , Periyasamy Panneerselvam , Pradeep K. Das Mohapatra
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引用次数: 3

摘要

生物信息学本质上是一个创新领域,它位于生命和计算机科学的极限,它允许基因组测序,数据处理,预测和简化复杂和巨大数据的处理方面的新技术进步。这一领域与两种常见方法有关,即;在硅和分子对接动力学实验,以提高和阐明配体-受体相互作用的科学认识,特别是那些参与药物加工过程的分子。这门学科的出现是为了取代传统的药物发现方法,这种方法非常有限,非常昂贵,并且并不总是提供预期的结果。这篇综述的目的是报告在过去几年中标志着生物信息学领域的关键事件,但也强调了促进其成功的关键因素,特别是在制药、生物技术、生物工程和教学领域,以及科学界的合作。本文还将讨论生物信息学的前沿技术和特点,以澄清这一领域的一些歧义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evolution of bioinformatics and its impact on modern bio-science in the twenty-first century: Special attention to pharmacology, plant science and drug discovery

Bioinformatics is inherently an innovative field that is situated at the limit of life and computer sciences that allowed new technological advances in genome sequencing, data processing, predication and simplified the treatment of complex and huge data. This field is related on two common approaches namely; in silico and molecular docking-dynamic experimentations to improve and clarify the scientific perception of ligand-receptor interactions, especially of those molecules involved in the drug elaboration process. This discipline has emerged to replace the traditional approach of drug discovery which was very limited, very expensive, and didn’t always provide the expected results. The objective of this review is to report the key events that have marked the bioinformatics sector during these last few years but also to underline the key elements that have contributed to its success especially in the sectors of pharmacy, biotechnology, bioengineering, and teaching but also on scientific community cooperation. This review will also discuss cutting-edge technology and bioinformatics characteristics in order to clarify some ambiguities in this area.

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来源期刊
Computational Toxicology
Computational Toxicology Computer Science-Computer Science Applications
CiteScore
5.50
自引率
0.00%
发文量
53
审稿时长
56 days
期刊介绍: Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs
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