ArticleAvicenna journal of medical biotechnology2013
Predictions of Protein-Protein Interfaces within Membrane Protein Complexes.
Article in Avicenna journal of medical biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Article
- Comparing machine learning algorithms for predicting COVID-19 mortality.BMC medical informatics and decision making · 2022Article
- Experimental determination and data-driven prediction of homotypic transmembrane domain interfaces.Computational and structural biotechnology journal · 2020Article
- A Novel Feature Extraction Method with Feature Selection to Identify Golgi-Resident Protein Types from Imbalanced Data.International journal of molecular sciences · 2016Article
- Article
- Prediction of RNA- and DNA-Binding Proteins Using Various Machine Learning Classifiers.Avicenna journal of medical biotechnologyArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrediction of interaction sites within the membrane protein complexes using the sequence data is of a great importance, because it would find applications in modification of molecules transport through membrane, signaling pathways and drug targets of many diseases. Nevertheless, it has gained little attention from the protein structural bioinformatics community.
methodsIn this study, a wide variety of prediction and classification tools were applied to distinguish the residues at the interfaces of membrane proteins from those not in the interfaces.
resultsThe tuned SVM model achieved the high accuracy of 86.95% and the AUC of 0.812 which outperforms the results of the only previous similar study. Nevertheless, prediction performances obtained using most employed models cannot be used in applied fields and needs more effort to improve.
conclusionConsidering the variety of the applied tools in this study, the present investigation could be a good starting point to develop more efficient tools to predict the membrane protein interaction site residues.
Indexed as
Identifiers
23919118PMC3732864What OpenQuestion holds
Registered trials
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