Your browser doesn't support javascript.
loading
Densest subgraph-based methods for protein-protein interaction hot spot prediction.
Li, Ruiming; Lee, Jung-Yu; Yang, Jinn-Moon; Akutsu, Tatsuya.
Affiliation
  • Li R; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Uji, 611-0011, Kyoto, Japan. lrming1993@gmail.com.
  • Lee JY; Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan.
  • Yang JM; Institute of Bioinformatics and Systems Biology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan.
  • Akutsu T; Department of Biological Science and Technology, National Yang Ming Chiao Tung University, Hsinchu, 300, Taiwan.
BMC Bioinformatics ; 23(1): 451, 2022 Oct 31.
Article in En | MEDLINE | ID: mdl-36316653

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Protein Interaction Mapping Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Japan Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Proteins / Protein Interaction Mapping Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Japan Country of publication: United kingdom