Mutual information and variants for protein domain-domain contact prediction.

Mutual information and variants for protein domain-domain contact prediction.

BACKGROUND: Predicting protein contacts solely based on sequence information remains a challenging problem, despite the huge amount of sequence data at our disposal. Mutual Information (MI), an information theory measure, has been extensively employed and modified to identify residues within a prot...

Descrizione completa

Dettagli Bibliografici
Autori principali:	Gomes, M, Hamer, R, Reinert, G, Deane, C
Natura:	Journal article
Lingua:	English
Pubblicazione:	BioMed Central 2012

Documenti analoghi

Mutual information and variants for protein domain-domain contact prediction
di: Gomes Mireille, et al.
Pubblicazione: (2012-08-01)

Role of mutual information for predicting contact residues in proteins
di: Gomes, M
Pubblicazione: (2012)

i-Patch: interprotein contact prediction using local network information.
di: Hamer, R, et al.
Pubblicazione: (2010)

Docking protein domains in contact space
di: Walker-Taylor Alice, et al.
Pubblicazione: (2006-06-01)

The severity of MUSK pathogenic variants is predicted by the protein domain they disrupt
di: Benjamin T. Cocanougher, et al.
Pubblicazione: (2024-07-01)

Local network patterns in protein-protein interfaces
di: Luo, Q, et al.
Pubblicazione: (2013)

Mutual information power analysis attack in the frequency domain of the crypto chip
di: Min WANG, et al.
Pubblicazione: (2015-11-01)

Mutual information power analysis attack in the frequency domain of the crypto chip
di: Min WANG, et al.
Pubblicazione: (2015-11-01)

The functional domain grouping of microtubule associated proteins.
di: Fisher, K, et al.
Pubblicazione: (2008)

Decreased Cross-Domain Mutual Information in Schizophrenia From Dynamic Connectivity States
di: Mustafa S. Salman, et al.
Pubblicazione: (2019-08-01)

Mutually Orthogonal Softmax Axes for Cross-Domain Retrieval
di: Hae-Chan Noh, et al.
Pubblicazione: (2020-01-01)

Local network patterns in protein-protein interfaces.
di: Qiang Luo, et al.
Pubblicazione: (2013-01-01)

Classification of domain movements in proteins using dynamic contact graphs.
di: Daniel Taylor, et al.
Pubblicazione: (2013-01-01)

Predicting and validating protein interactions using network structure
di: Chen, P, et al.
Pubblicazione: (2008)

Multimodal medical image fusion with convolution sparse representation and mutual information correlation in NSST domain
di: Peng Guo, et al.
Pubblicazione: (2022-06-01)

Multi-Action Knee Contact Force Prediction by Domain Adaptation
di: Iliana Loi, et al.
Pubblicazione: (2024-01-01)

A statistical approach using network structure in the prediction of protein characteristics.
di: Chen, P, et al.
Pubblicazione: (2007)

A statistical approach using network structure in the prediction of protein characteristics
di: Chen, P, et al.
Pubblicazione: (2007)

Harmonic analysis based on time domain mutual-multiplication window
di: Tianyuan Tan, et al.
Pubblicazione: (2016-01-01)

A bacterial immunomodulatory protein with lipocalin-like domains facilitates host–bacteria mutualism in larval zebrafish
di: Annah S Rolig, et al.
Pubblicazione: (2018-11-01)

Modeling of unsupervised knowledge graph of events based on mutual information among neighbor domains and sparse representation
di: Jing-Tao Sun, et al.
Pubblicazione: (2022-12-01)

Protein complex prediction via verifying and reconstructing the topology of domain-domain interactions
di: Kashima Hisashi, et al.
Pubblicazione: (2010-06-01)

Protein sub-nuclear localization prediction using SVM and Pfam domain information.
di: Ravindra Kumar, et al.
Pubblicazione: (2014-01-01)

Cancellation between auto- and mutual correlation contributions of protein/water dynamics in terahertz time-domain spectra
di: Yasumasa Joti, et al.
Pubblicazione: (2019-11-01)

Domain-Based Predictive Models for Protein-Protein Interaction Prediction
di: Chen Xue-Wen, et al.
Pubblicazione: (2006-01-01)

A protein domain and family based approach to rare variant association analysis
di: Richardson, T, et al.
Pubblicazione: (2016)

The Epc-N domain: a predicted protein-protein interaction domain found in select chromatin associated proteins
di: Perry Jason
Pubblicazione: (2006-01-01)

Neural Machine Translation Transfer Model Based on Mutual Domain Guidance
di: Yupeng Liu, et al.
Pubblicazione: (2022-01-01)

A Protein Domain and Family Based Approach to Rare Variant Association Analysis.
di: Tom G Richardson, et al.
Pubblicazione: (2016-01-01)

The evolution of contact prediction: Evidence that contact selection in statistical contact prediction is changing
di: Chonofsky, M, et al.
Pubblicazione: (2019)

Structure of metabotropic glutamate receptor C-terminal domains in contact with interacting proteins
di: Ralf eEnz
Pubblicazione: (2012-04-01)

The importance of age and high degree, in protein-protein interaction networks.
di: Rito, T, et al.
Pubblicazione: (2012)

Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification
di: Lei Wang, et al.
Pubblicazione: (2020-12-01)

Utilizing shared interacting domain patterns and Gene Ontology information to improve protein-protein interaction prediction
di: Roslan, Rosfuzah, et al.
Pubblicazione: (2010)

Utilizing shared interacting domain patterns and gene ontology information to improve protein–protein interaction prediction
di: Roslan, Rosfuzah, et al.
Pubblicazione: (2010)

The natural history of protein domains.
di: Ponting, C, et al.
Pubblicazione: (2002)

Drug discovery under covariate shift with domain-informed prior distributions over functions
di: Klarner, L, et al.
Pubblicazione: (2023)

Identifying small molecule binding sites for epigenetic proteins at domain-domain interfaces
di: Brennan, P, et al.
Pubblicazione: (2018)

FilterDCA: Interpretable supervised contact prediction using inter-domain coevolution.
di: Maureen Muscat, et al.
Pubblicazione: (2020-10-01)

DPFunc: accurately predicting protein function via deep learning with domain-guided structure information
di: Wang, W, et al.
Pubblicazione: (2025)