Browsing Araştırma Çıktıları / Scopus by KHAS Author "Akbal-Delibas, Bahar"
Now showing items 1-3 of 3
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Accurate Refinement Of Docked Protein Complexes Using Evolutionary Information And Deep Learning
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Publisher and Date:(Imperıal College Press, 2016)One of the major challenges for protein docking methods is to accurately discriminate native-like structures from false positives. Docking methods are often inaccurate and the results have to be refined and re-ranked to obtain native-like complexes and remove outliers. In a previous work we introduced AccuRefiner a machine learning based tool for refining protein-protein complexes. Given a docked complex the refinement tool produces a small set of refined versions of the input complex with lower ...
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Machine Learning Approaches for Predicting Protein Complex Similarity
Authors:
Publisher and Date:(Mary Ann Liebert Inc Publ, 2017)Discriminating native-like structures from false positives with high accuracy is one of the biggest challenges in protein-protein docking. While there is an agreement on the existence of a relationship between various favorable intermolecular interactions (e.g. Van der Waals electrostatic and desolvation forces) and the similarity of a conformation to its native structure the precise nature of this relationship is not known. Existing protein-protein docking methods typically formulate this ...
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Ranking Protein-Protein Binding Using Evolutionary Information and Machine Learning
Authors:
Publisher and Date:(Association for Computing Machinery, 2017)Discriminating native-like complexes from false-positives with high accuracy is one of the biggest challenges in protein-protein docking. The relationship between various favorable intermolecular interactions (e.g. Van derWaals electrostatic desolvation forces etc.) and the similarity of a conformation to its native structure is commonly agreed though the precise nature of this relationship is not known very well. Existing protein-protein docking methods typically formulate this relationship as a ...
