ReviewDrug discovery today2008
Protein interaction predictions from diverse sources.
Review in Drug discovery today, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Improved protein interaction models predict differences in complexes between human cell lines.bioRxiv : the preprint server for biology · 2024Article
- Computational Network Inference for Bacterial Interactomics.mSystems · 2022Review
- Integration of Heterogeneous Experimental Data Improves Global Map of Human Protein Complexes.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2019Article
- ProfPPIdb: Pairs of physical protein-protein interactions predicted for entire proteomes.PloS one · 2018Article
- Characterization of tubular liquid crystal structure in embryonic stem cell derived embryoid bodies.Cell & bioscience · 2017Article
- Prediction of Protein-Protein Interactions by Evidence Combining Methods.International journal of molecular sciences · 2016Review
- PPCM: Combing Multiple Classifiers to Improve Protein-Protein Interaction Prediction.International journal of genomics · 2015Article
- Improving the prediction of yeast protein function using weighted protein-protein interactions.Theoretical biology & medical modelling · 2011Article
- Rationally designed peptide regulators of protein kinase C.Trends in endocrinology and metabolism: TEM · 2009Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Protein-protein interactions play an important role in many cellular processes. The availability of a comprehensive and accurate list of protein interactions can facilitate drug target discovery. Recent advances in high-throughput experimental technologies have generated enormous amounts of data and provided valuable resources for studying protein interactions. However, these technologies suffer from high error rates because of their inherent limitations. Therefore, computational approaches capable of incorporating multiple data sources are needed to fully take advantage of the rapid accumulation of data. In this review, we focus on the computational methods that integrate multiple data sources by combining direct measurements on protein interactions from diverse organisms, and by integrating different types of indirect information from various genomic and proteomic approaches.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.