Matches in SemOpenAlex for { <https://semopenalex.org/work/W2538835863> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W2538835863 abstract "Knowing which proteins interact is essential for learning about biological processes and functions, as almost every process in the cell involves a protein interaction. Determining protein-protein interactions is one of the most well-studied yet difficult problems in biology. The large amount of genomic data—20,000+ genes in human alone—and the combinatorial number of possible interactions make it impossible to test all proteins in the laboratory in a short time, even using high-throughput techniques, and motivates the study of efficient computational methods. We focus on protein interactions mediated by two-stranded, parallel coiled-coil, one of the most common structural motifs. Coiled coils are involved in many cellular processes, including transcription, oncogenesis, cell structure, and cell fusion events. We present several computational methods for predicting coiled-coil protein interactions. First, we describe a learning method that represents coiled coils in terms of their interhelical interactions and derives, from sequence and experimental data, a weight that indicates how favorable each residue-residue interaction is. When tested on interactions between human and yeast bZIP transcription factor proteins, our method identifies 70% of strong interactions while maintaining that 92% of predictions are correct. Showing its usefulness outside this protein class, we apply our method to predict novel bZIP interactions in Arabidopsis and to computationally identify all coiled-coil interactions in the yeast proteome. While unable to identify coiled coils with high confidence at the proteomic scale, our method makes inroads towards this more challenging problem. Finally, we integrated three successful predictors using a probabilistic framework. The combined method is demonstrated to perform better than any individual method, on average. Our work is the first to predict protein-protein interactions with such high confidence. While developed for coiled coils, the techniques can also be applied towards other structural domains and general protein-protein interactions." @default.
- W2538835863 created "2016-10-28" @default.
- W2538835863 creator A5026898986 @default.
- W2538835863 creator A5085615320 @default.
- W2538835863 date "2005-01-01" @default.
- W2538835863 modified "2023-09-23" @default.
- W2538835863 title "Computational methods for predicting coiled-coil protein-protein interactions" @default.
- W2538835863 hasPublicationYear "2005" @default.
- W2538835863 type Work @default.
- W2538835863 sameAs 2538835863 @default.
- W2538835863 citedByCount "0" @default.
- W2538835863 crossrefType "journal-article" @default.
- W2538835863 hasAuthorship W2538835863A5026898986 @default.
- W2538835863 hasAuthorship W2538835863A5085615320 @default.
- W2538835863 hasConcept C104397665 @default.
- W2538835863 hasConcept C11804247 @default.
- W2538835863 hasConcept C192772702 @default.
- W2538835863 hasConcept C41008148 @default.
- W2538835863 hasConcept C47701112 @default.
- W2538835863 hasConcept C54355233 @default.
- W2538835863 hasConcept C55493867 @default.
- W2538835863 hasConcept C55988834 @default.
- W2538835863 hasConcept C60644358 @default.
- W2538835863 hasConcept C70721500 @default.
- W2538835863 hasConcept C86803240 @default.
- W2538835863 hasConcept C95444343 @default.
- W2538835863 hasConceptScore W2538835863C104397665 @default.
- W2538835863 hasConceptScore W2538835863C11804247 @default.
- W2538835863 hasConceptScore W2538835863C192772702 @default.
- W2538835863 hasConceptScore W2538835863C41008148 @default.
- W2538835863 hasConceptScore W2538835863C47701112 @default.
- W2538835863 hasConceptScore W2538835863C54355233 @default.
- W2538835863 hasConceptScore W2538835863C55493867 @default.
- W2538835863 hasConceptScore W2538835863C55988834 @default.
- W2538835863 hasConceptScore W2538835863C60644358 @default.
- W2538835863 hasConceptScore W2538835863C70721500 @default.
- W2538835863 hasConceptScore W2538835863C86803240 @default.
- W2538835863 hasConceptScore W2538835863C95444343 @default.
- W2538835863 hasLocation W25388358631 @default.
- W2538835863 hasOpenAccess W2538835863 @default.
- W2538835863 hasPrimaryLocation W25388358631 @default.
- W2538835863 hasRelatedWork W1924859636 @default.
- W2538835863 hasRelatedWork W1982082570 @default.
- W2538835863 hasRelatedWork W2003079893 @default.
- W2538835863 hasRelatedWork W2023587449 @default.
- W2538835863 hasRelatedWork W2039260414 @default.
- W2538835863 hasRelatedWork W2090766471 @default.
- W2538835863 hasRelatedWork W2096143705 @default.
- W2538835863 hasRelatedWork W2107811186 @default.
- W2538835863 hasRelatedWork W2144344817 @default.
- W2538835863 hasRelatedWork W2147202073 @default.
- W2538835863 hasRelatedWork W2167348517 @default.
- W2538835863 hasRelatedWork W2530948591 @default.
- W2538835863 hasRelatedWork W2752271597 @default.
- W2538835863 hasRelatedWork W2776283197 @default.
- W2538835863 hasRelatedWork W2800686208 @default.
- W2538835863 hasRelatedWork W2949751838 @default.
- W2538835863 hasRelatedWork W3080569954 @default.
- W2538835863 hasRelatedWork W3091281359 @default.
- W2538835863 hasRelatedWork W3214228325 @default.
- W2538835863 hasRelatedWork W415823327 @default.
- W2538835863 isParatext "false" @default.
- W2538835863 isRetracted "false" @default.
- W2538835863 magId "2538835863" @default.
- W2538835863 workType "article" @default.