Your browser doesn't support javascript.
loading
Computational Prediction of Compound-Protein Interactions for Orphan Targets Using CGBVS.
Kanai, Chisato; Kawasaki, Enzo; Murakami, Ryuta; Morita, Yusuke; Yoshimori, Atsushi.
Affiliation
  • Kanai C; Data Science Division, INTAGE Healthcare Inc., 2F NREG Midosuji Bldg., 3-5-7 Kawara-Machi, Chuo-ku, Osaka 541-0048, Japan.
  • Kawasaki E; Data Science Division, INTAGE Healthcare Inc., 2F NREG Midosuji Bldg., 3-5-7 Kawara-Machi, Chuo-ku, Osaka 541-0048, Japan.
  • Murakami R; Data Science Division, INTAGE Healthcare Inc., 2F NREG Midosuji Bldg., 3-5-7 Kawara-Machi, Chuo-ku, Osaka 541-0048, Japan.
  • Morita Y; Business Development Division, Advanced Technology Department, INTAGE Inc., Akihabara Building, 3 Kanda-Neribeicho, Chiyoda-ku, Tokyo 101-8201, Japan.
  • Yoshimori A; Institute for Theoretical Medicine Inc., 26-1 Muraoka-Higashi 2-Chome, Fujisawa 251-0012, Japan.
Molecules ; 26(17)2021 Aug 24.
Article in En | MEDLINE | ID: mdl-34500569
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Pharmaceutical Preparations / Proteins Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Molecules Year: 2021 Type: Article Affiliation country: Japan
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Pharmaceutical Preparations / Proteins Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Molecules Year: 2021 Type: Article Affiliation country: Japan