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Improved prediction of protein-protein interactions by a modified strategy using three conventional docking software in combination.
Choi, Sungwoo; Son, Seung Han; Kim, Min Young; Na, Insung; Uversky, Vladimir N; Kim, Chul Geun.
Afiliação
  • Choi S; Department of Life Science and Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea.
  • Son SH; Department of Life Science and Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea.
  • Kim MY; Department of Life Science and Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea.
  • Na I; Department of Life Science and Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea.
  • Uversky VN; Department of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida; Tampa, FL 33612, USA. Electronic address: vuversky@usf.edu.
  • Kim CG; Department of Life Science and Research Institute for Natural Sciences, Hanyang University, Seoul 04763, Republic of Korea; CGK Biopharma Co. Ltd., 222 Wangshipri-ro, Sungdong-gu, Seoul 04763, Republic of Korea. Electronic address: cgkim@hanyang.ac.kr.
Int J Biol Macromol ; 252: 126526, 2023 Dec 01.
Article em En | MEDLINE | ID: mdl-37633550

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Biol Macromol Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Neoplasias Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Int J Biol Macromol Ano de publicação: 2023 Tipo de documento: Article