ArticleBMC systems biology2016
A novel index of protein-protein interface propensity improves interface residue recognition.
Article in BMC systems biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
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- A mutation in CCDC91, Homo sapiens coiled-coil domain containing 91 protein, cause autosomal-dominant acrokeratoelastoidosis.European journal of human genetics : EJHG · 2024Article
- Prediction of Protein-DNA Interface Hot Spots Based on Empirical Mode Decomposition and Machine Learning.Genes · 2024Article
- A unified statistical potential reveals that amino acid stickiness governs nonspecific recruitment of client proteins into condensates.Protein science : a publication of the Protein Society · 2022Article
- S1P defects cause a new entity of cataract, alopecia, oral mucosal disorder, and psoriasis-like syndrome.EMBO molecular medicine · 2022Article
- Protein-protein interactions enhance the thermal resilience of SpyRing-cyclized enzymes: A molecular dynamic simulation study.PloS one · 2022Article
- Mutation Edgotype Drives Fitness Effect in Human.Frontiers in bioinformatics · 2021Article
- CB-Dock: a web server for cavity detection-guided protein-ligand blind docking.Acta pharmacologica Sinica · 2020Article
- Tmem178 negatively regulates store-operated calcium entry in myeloid cells via association with STIM1.Journal of autoimmunity · 2019Article
- In vitro assembly of Haemophilus influenzae adhesin transmembrane domain and studies on the electrostatic repulsion at the interface.Biophysical reviews · 2019Review
- MRCKβ links Dasm1 to actin rearrangements to promote dendrite development.The Journal of biological chemistryArticle
- αα-Hub domains and intrinsically disordered proteins: A decisive combo.The Journal of biological chemistryReview
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6 authors.
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Abstract
backgroundProtein-protein interface holds important information of protein-protein interactions which play key roles in most biological processes. In the past few years, a lot of efforts have been made to improve interface residue recognition by characterizing protein-protein interfaces and extracting relevant features. However, most previous studies were carried out in a qualitative level, and there are also some inconsistencies between them.
resultsIn the present work, to improve interface residue recognition, we built a novel quantitative residue protein-protein interface propensity index (QIPI) and gained a comprehensive picture of protein-protein interface through analyzing protein-protein interfaces on our comprehensive protein-protein interfaces dataset (Astral2.05-40-4506). Furthermore, in order to assess the effect of QIPI in improving the protein-protein interface prediction, we developed an interface residue recognition method SPR (Single domain based Patch Recognition) based on the QIPI. The evaluation results proved that our novel QIPI is able to improve the interface residue recognition.
conclusionsThrough a comprehensive quantitative analysis of protein-protein interface, we constructed a novel quantitative protein-protein interface propensity index (QIPI), which could be easily applied to improve the interface residue recognition and helpful in understanding the protein-protein interface. AVAILABILITY: QIPI and SPR are available to non-commercial users at our website: http://www.scbit.org/QIPI/ .
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