HPID: The Human Protein Interaction Database
By Kyungsook Han, B. Park, Hyongguen Kim, Jinsun Hong, Jong-Chan Park. 2004
91 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Molecular Biology
- Zexian Zeng
- Tristan Naumann
- Xiaoyu Li
- Yu Deng
- Reinhard Schneider
- Yuan Luo
- S. Kossida
- Charalampos N. Moschopoulos
Citations in the corpus
- Natural Language Processing for EHR-Based Computational Phenotyping (2018, background): “In addition to hospital-collected data stored in EHRs, research data are increasingly available, including public databases such as PubMed [17], Textpresso [18], Human Protein Interaction Database (HPID) [19], and MeInfoText [20].”
- Biomedical text mining and its applications in cancer research (2013, unknown): “[148] HPID.”
- Online Predicted Human Interaction Database (2005, unknown): “The entire dataset can be downloaded as a tab-delimited text file, or in the PSI-compliant XML format (Hermjakob et al. , 2004).”
- Using graph theory to analyze biological networks (2011, background): “…Interactions (MINT) database [15], the IntAct database [16], the Database of Interacting Proteins (DIP) [10], the Biomolecular Interaction Network Database (BIND) [17], the BioGRID database [18], the Human Protein Reference Database (HPRD) [19], the HPID [20] or the DroID [21] for Drosophila.”