An evaluation of human protein-protein interaction data in the public domain

• Main Authors: Mathivanan, S, Periaswamy, B, Gandhi, T.K.B, Kandasamy, K, Suresh, S, Mohmood, R, Ramachandra, Y.L, Pandey, A
• Other Authors: MEDICINE
• Format: Article
• Published: 2020
• Subjects: Annotation errors; Biological networks; Human proteins; Primary database; Protein-protein interactions; Public domains; Scientific journals; Unique features; Mints; Proteins; Bioinformatics; Database systems; ligand; article; computer model; computer program; genetic disorder; human; human genome; Internet; medical research; protein binding; protein database; protein domain; protein protein interaction; signal transduction; animal; comparative study; computer network; evaluation; genetics; information system; literature; methodology; organization and management; protein analysis; Animals; Computer Communication Networks; Genetic Diseases, Inborn; Humans; Information Systems; Literature; Protein Interaction Mapping; Public Sector
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/178007
• Institution: National University of Singapore

10.1186/1471-2105-7-S5-S19