Predicting MoRFs in protein sequences using HMM profiles.

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Bioinformatics and systems biology research update from the 15th International Conference on Bioinformatics (InCoB2016).An improved discriminative filter bank selection approach for motor imagery EEG signal classification using mutual information.

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P2860

Predicting MoRFs in protein sequences using HMM profiles.

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http://www.wikidata.org/entity/Q36268811

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2016 nî lūn-bûn

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2016年の論文

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2016年学术文章

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2016年学术文章

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Predicting MoRFs in protein sequences using HMM profiles.

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Predicting MoRFs in protein sequences using HMM profiles.

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type

Item

label

Predicting MoRFs in protein sequences using HMM profiles.

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Predicting MoRFs in protein sequences using HMM profiles.

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prefLabel

Predicting MoRFs in protein sequences using HMM profiles.

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Predicting MoRFs in protein sequences using HMM profiles.

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P1476

Predicting MoRFs in protein sequences using HMM profiles

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P2093

Alok Sharma

http://www.w3.org/2001/XMLSchema#string

Ashwini Patil

http://www.w3.org/2001/XMLSchema#string

Ronesh Sharma

http://www.w3.org/2001/XMLSchema#string

Tatsuhiko Tsunoda

http://www.w3.org/2001/XMLSchema#string

P2860

Prediction of protein binding regions in disordered proteins

Intrinsically unstructured proteins and their functions

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs

HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment

Analysis of molecular recognition features (MoRFs)

IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content

The interplay between structure and function in intrinsically unstructured proteins.

A strategy to select suitable physicochemical attributes of amino acids for protein fold recognition.

A Segmentation-Based Method to Extract Structural and Evolutionary Features for Protein Fold Recognition.

A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognition.

P2888

s12859-016-1375-0

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scholarly article

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10.1186/S12859-016-1375-0

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P433

Suppl 19

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P478

http://www.w3.org/2001/XMLSchema#string

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Shiu Kumar

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2016-12-22T00:00:00Z

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1031509600

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Predicting MoRFs in protein sequences using HMM profiles.

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P2860

P2860

Predicting MoRFs in protein sequences using HMM profiles.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P6179

P698

P932

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P6179

P698

P932