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Multi-level bioinformatics resources support drug target discovery of protein-protein interactions.
Liu, Jia-Xin; Zhang, Xiao; Huang, Yuan-Qin; Hao, Ge-Fei; Yang, Guang-Fu.
Afiliação
  • Liu JX; National Key Laboratory of Green Pesticide, Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, PR China.
  • Zhang X; State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals, Guizhou University, Guiyang 550025, PR China.
  • Huang YQ; State Key Laboratory of Green Pesticide, Key Laboratory of Green Pesticide and Agricultural Bioengineering, Ministry of Education, Center for R&D of Fine Chemicals, Guizhou University, Guiyang 550025, PR China.
  • Hao GF; National Key Laboratory of Green Pesticide, Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, PR China; State Key Laboratory of Green Pesticide
  • Yang GF; National Key Laboratory of Green Pesticide, Key Laboratory of Pesticide & Chemical Biology, Ministry of Education, International Joint Research Center for Intelligent Biosensor Technology and Health, Central China Normal University, Wuhan 430079, PR China. Electronic address: gfyang@mail.ccnu.ed
Drug Discov Today ; 29(5): 103979, 2024 May.
Article em En | MEDLINE | ID: mdl-38608830
ABSTRACT
Drug discovery often begins with a new target. Protein-protein interactions (PPIs) are crucial to multitudinous cellular processes and offer a promising avenue for drug-target discovery. PPIs are characterized by multi-level complexity at the protein level, interaction networks can be used to identify potential targets, whereas at the residue level, the details of the interactions of individual PPIs can be used to examine a target's druggability. Much great progress has been made in target discovery through multi-level PPI-related computational approaches, but these resources have not been fully discussed. Here, we systematically survey bioinformatics tools for identifying and assessing potential drug targets, examining their characteristics, limitations and applications. This work will aid the integration of the broader protein-to-network context with the analysis of detailed binding mechanisms to support the discovery of drug targets.
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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Biologia Computacional / Descoberta de Drogas Limite: Humans Idioma: En Revista: Drug Discov Today Assunto da revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Biologia Computacional / Descoberta de Drogas Limite: Humans Idioma: En Revista: Drug Discov Today Assunto da revista: FARMACOLOGIA / TERAPIA POR MEDICAMENTOS Ano de publicação: 2024 Tipo de documento: Article