{"title":"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","authors":"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","doi":"10.1016/j.comtox.2022.100248","DOIUrl":null,"url":null,"abstract":"<div><p>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; <em>in silico</em> 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.</p></div>","PeriodicalId":37651,"journal":{"name":"Computational Toxicology","volume":null,"pages":null},"PeriodicalIF":3.1000,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Evolution of bioinformatics and its impact on modern bio-science in the twenty-first century: Special attention to pharmacology, plant science and drug discovery\",\"authors\":\"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\",\"doi\":\"10.1016/j.comtox.2022.100248\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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; <em>in silico</em> 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.</p></div>\",\"PeriodicalId\":37651,\"journal\":{\"name\":\"Computational Toxicology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2022-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468111322000366\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468111322000366","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
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.
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