## Abstract Using a novel iterative method, we have developed a knowledge‐based scoring function (ITScore) to predict protein–ligand interactions. The pair potentials for ITScore were derived from a training set of 786 protein–ligand complex structures in the Protein Data Bank. Twenty‐six atom type
An experimentally derived confidence score for binary protein-protein interactions
✍ Scribed by Braun, Pascal; Tasan, Murat; Dreze, Matija; Barrios-Rodiles, Miriam; Lemmens, Irma; Yu, Haiyuan; Sahalie, Julie M; Murray, Ryan R; Roncari, Luba; de Smet, Anne-Sophie
- Book ID
- 109935364
- Publisher
- Nature Publishing Group
- Year
- 2008
- Tongue
- English
- Weight
- 497 KB
- Volume
- 6
- Category
- Article
- ISSN
- 1552-4450
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## Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable v
Disease-relevant intracellular protein-protein interactions occurring at defined cellular sites possess great potential as drug targets. They permit highly specific pharmacological interference with defined cellular functions. Drugs targeting such interactions are likely to act with fewer side effec