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Exploring the artificial intelligence and machine learning models in the context of drug design difficulties and future potential for the pharmaceutical sectors.
Shiammala, Periyasamy Natarajan; Duraimutharasan, Navaneetha Krishna Bose; Vaseeharan, Baskaralingam; Alothaim, Abdulaziz S; Al-Malki, Esam S; Snekaa, Babu; Safi, Sher Zaman; Singh, Sanjeev Kumar; Velmurugan, Devadasan; Selvaraj, Chandrabose.
Afiliação
  • Shiammala PN; Department of Information Technology, AMET Deemed to be University, Kanathur, Chennai, Tamil Nadu 603112, India.
  • Duraimutharasan NKB; Department of Information Technology, AMET Deemed to be University, Kanathur, Chennai, Tamil Nadu 603112, India.
  • Vaseeharan B; Department of Animal Health and Management, Science Block, Alagappa University, Karaikudi, Tamil Nadu 630 003, India.
  • Alothaim AS; Department of Biology, College of Science in Zulfi, Majmaah University, Al-Majmaah 11952, Saudi Arabia.
  • Al-Malki ES; Department of Biology, College of Science in Zulfi, Majmaah University, Al-Majmaah 11952, Saudi Arabia.
  • Snekaa B; Laboratory for Artificial Intelligence and Molecular Modelling, Department of Pharmacology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu 600077, India.
  • Safi SZ; Faculty of Medicine, Bioscience and Nursing, MAHSA University, Jenjarom 42610, Selangor, Malaysia.
  • Singh SK; Computer Aided Drug Design and Molecular Modelling Lab, Department of Bioinformatics, Science Block, Alagappa University, Karaikudi-630 003, Tamil Nadu, India.
  • Velmurugan D; Department of Biotechnology, College of Engineering & Technology, SRM Institute of Science & Technology, Kattankulathur, Chennai, Tamil Nadu 603203, India.
  • Selvaraj C; Laboratory for Artificial Intelligence and Molecular Modelling, Department of Pharmacology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, Tamil Nadu 600077, India; Laboratory for Artificial Intelligence and Molecul
Methods ; 219: 82-94, 2023 11.
Article em En | MEDLINE | ID: mdl-37778659
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado de Máquina Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Aprendizado de Máquina Idioma: En Ano de publicação: 2023 Tipo de documento: Article