人工智能驱动的生物化学创新：新兴研究前沿综述。

0 MEDICINE, RESEARCH & EXPERIMENTAL

Biomolecules & biomedicine Pub Date : 2025-01-14 DOI:10.17305/bb.2024.11537

Mohammed Abdul Lateef Junaid

{"title":"人工智能驱动的生物化学创新：新兴研究前沿综述。","authors":"Mohammed Abdul Lateef Junaid","doi":"10.17305/bb.2024.11537","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) has become a powerful tool in biochemistry, greatly enhancing research capabilities by enabling the analysis of complex datasets, predicting molecular interactions, and accelerating drug discovery. As AI continues to evolve, its applications in biochemistry are poised to expand, revolutionizing both theoretical and applied research. This review explores current and potential AI applications in biochemistry, with a focus on data analysis, molecular modeling, enzyme engineering...","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers.\",\"authors\":\"Mohammed Abdul Lateef Junaid\",\"doi\":\"10.17305/bb.2024.11537\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Artificial intelligence (AI) has become a powerful tool in biochemistry, greatly enhancing research capabilities by enabling the analysis of complex datasets, predicting molecular interactions, and accelerating drug discovery. As AI continues to evolve, its applications in biochemistry are poised to expand, revolutionizing both theoretical and applied research. This review explores current and potential AI applications in biochemistry, with a focus on data analysis, molecular modeling, enzyme engineering...\",\"PeriodicalId\":72398,\"journal\":{\"name\":\"Biomolecules & biomedicine\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomolecules & biomedicine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17305/bb.2024.11537\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomolecules & biomedicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17305/bb.2024.11537","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}

引用次数: 0

摘要

人工智能（AI）已经成为生物化学领域的强大工具，通过分析复杂数据集、预测分子相互作用和加速药物发现，极大地提高了研究能力。随着人工智能的不断发展，其在生物化学中的应用有望扩大，给理论和应用研究带来革命性的变化。本文综述了人工智能在生物化学中的应用现状和潜力，重点介绍了人工智能在数据分析、分子建模、酶工程等方面的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers.

Artificial intelligence (AI) has become a powerful tool in biochemistry, greatly enhancing research capabilities by enabling the analysis of complex datasets, predicting molecular interactions, and accelerating drug discovery. As AI continues to evolve, its applications in biochemistry are poised to expand, revolutionizing both theoretical and applied research. This review explores current and potential AI applications in biochemistry, with a focus on data analysis, molecular modeling, enzyme engineering...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Biomolecules & biomedicine

CiteScore

1.10

自引率

0.00%

发文量