A novel index of protein-protein interface propensity improves interface residue recognition

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1752-0509

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A novel index of protein-protein interface propensity improves interface residue recognition ; volume:10 ; number:4 ; day:23 ; month:12 ; year:2016 ; pages:381-392 ; date:12.2016
BMC systems biology ; 10, Heft 4 (23.12.2016), 381-392, 12.2016

Classification: Biowissenschaften, Biologie

Creator: Dai, Wentao

Contributor: Wu, Aiping
Ma, Liangxiao
Li, Yi-Xue
Jiang, Taijiao
Li, Yuan-Yuan
SpringerLink (Online service)

DOI: 10.1186/s12918-016-0351-7

URN: urn:nbn:de:1111-201702157648

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 11:00 AM CEST

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Dai, Wentao
Wu, Aiping
Ma, Liangxiao
Li, Yi-Xue
Jiang, Taijiao
Li, Yuan-Yuan
SpringerLink (Online service)

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A novel index of protein-protein interface propensity improves interface residue recognition

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Other Objects (12)

Streamlined Protein‐Protein Interface Loop Mimicry

Streamlined Protein‐Protein Interface Loop Mimicry

Protein docking prediction using predicted protein-protein interface

Prediction of protein-protein binding site by using core interface residue and support vector machine

Graphical models for protein-protein interaction interface prediction

Multiple dimensional space for protein interface residue characterization

Electrostatic complementarity at the interface drives transient protein-protein interactions

Predicting protein-protein interface residues using local surface structural similarity

Interface-aware molecular generative framework for protein–protein interaction modulators

Different protein-protein interface patterns predicted by different machine learning methods

Allostery at a Protein‐Protein Interface Harboring an Intermolecular Motional Network

Protein-protein interface hot spots prediction based on a hybrid feature selection strategy

Streamlined Protein‐Protein Interface Loop Mimicry

Streamlined Protein‐Protein Interface Loop Mimicry

Protein docking prediction using predicted protein-protein interface

Prediction of protein-protein binding site by using core interface residue and support vector machine

Graphical models for protein-protein interaction interface prediction

Multiple dimensional space for protein interface residue characterization

Electrostatic complementarity at the interface drives transient protein-protein interactions

Predicting protein-protein interface residues using local surface structural similarity

Interface-aware molecular generative framework for protein–protein interaction modulators

Different protein-protein interface patterns predicted by different machine learning methods

Allostery at a Protein‐Protein Interface Harboring an Intermolecular Motional Network

Protein-protein interface hot spots prediction based on a hybrid feature selection strategy

Streamlined Protein‐Protein Interface Loop Mimicry

Streamlined Protein‐Protein Interface Loop Mimicry

Protein docking prediction using predicted protein-protein interface

Prediction of protein-protein binding site by using core interface residue and support vector machine

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Different protein-protein interface patterns predicted by different machine learning methods

Allostery at a Protein‐Protein Interface Harboring an Intermolecular Motional Network

Protein-protein interface hot spots prediction based on a hybrid feature selection strategy

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