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Prediction and Analysis of Canonical EF Hand Loop and Qualitative Estimation of Ca2+ Binding Affinity
by
Bhattacharya, Alok
, Padhan, Narendra
, Mazumder, Mohit
, Gourinath, Samudrala
in
Affinity
/ Amino acids
/ Binding
/ Binding Sites
/ Bioinformatics
/ Biology and Life Sciences
/ Calcium
/ Calcium - chemistry
/ Calcium - metabolism
/ Calcium-Binding Proteins - chemistry
/ Calcium-Binding Proteins - metabolism
/ Computational Biology - methods
/ Crystal structure
/ Discriminant analysis
/ EF-hand
/ Entamoeba histolytica - chemistry
/ Entamoeba histolytica - metabolism
/ Gene expression
/ Homeostasis
/ Internet
/ Life sciences
/ Neural networks
/ Position-Specific Scoring Matrices
/ Predictions
/ Proteins
/ Proteome
/ Proteomes
/ Protozoan Proteins - chemistry
/ Protozoan Proteins - metabolism
/ Qualitative analysis
/ Qualitative research
/ Servers
/ Structure-Activity Relationship
/ Support Vector Machine
/ Support vector machines
2014
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Prediction and Analysis of Canonical EF Hand Loop and Qualitative Estimation of Ca2+ Binding Affinity
by
Bhattacharya, Alok
, Padhan, Narendra
, Mazumder, Mohit
, Gourinath, Samudrala
in
Affinity
/ Amino acids
/ Binding
/ Binding Sites
/ Bioinformatics
/ Biology and Life Sciences
/ Calcium
/ Calcium - chemistry
/ Calcium - metabolism
/ Calcium-Binding Proteins - chemistry
/ Calcium-Binding Proteins - metabolism
/ Computational Biology - methods
/ Crystal structure
/ Discriminant analysis
/ EF-hand
/ Entamoeba histolytica - chemistry
/ Entamoeba histolytica - metabolism
/ Gene expression
/ Homeostasis
/ Internet
/ Life sciences
/ Neural networks
/ Position-Specific Scoring Matrices
/ Predictions
/ Proteins
/ Proteome
/ Proteomes
/ Protozoan Proteins - chemistry
/ Protozoan Proteins - metabolism
/ Qualitative analysis
/ Qualitative research
/ Servers
/ Structure-Activity Relationship
/ Support Vector Machine
/ Support vector machines
2014
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Prediction and Analysis of Canonical EF Hand Loop and Qualitative Estimation of Ca2+ Binding Affinity
by
Bhattacharya, Alok
, Padhan, Narendra
, Mazumder, Mohit
, Gourinath, Samudrala
in
Affinity
/ Amino acids
/ Binding
/ Binding Sites
/ Bioinformatics
/ Biology and Life Sciences
/ Calcium
/ Calcium - chemistry
/ Calcium - metabolism
/ Calcium-Binding Proteins - chemistry
/ Calcium-Binding Proteins - metabolism
/ Computational Biology - methods
/ Crystal structure
/ Discriminant analysis
/ EF-hand
/ Entamoeba histolytica - chemistry
/ Entamoeba histolytica - metabolism
/ Gene expression
/ Homeostasis
/ Internet
/ Life sciences
/ Neural networks
/ Position-Specific Scoring Matrices
/ Predictions
/ Proteins
/ Proteome
/ Proteomes
/ Protozoan Proteins - chemistry
/ Protozoan Proteins - metabolism
/ Qualitative analysis
/ Qualitative research
/ Servers
/ Structure-Activity Relationship
/ Support Vector Machine
/ Support vector machines
2014
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Prediction and Analysis of Canonical EF Hand Loop and Qualitative Estimation of Ca2+ Binding Affinity
Journal Article
Prediction and Analysis of Canonical EF Hand Loop and Qualitative Estimation of Ca2+ Binding Affinity
2014
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Overview
The diversity of functions carried out by EF hand-containing calcium-binding proteins is due to various interactions made by these proteins as well as the range of affinity levels for Ca²⁺ displayed by them. However, accurate methods are not available for prediction of binding affinities. Here, amino acid patterns of canonical EF hand sequences obtained from available crystal structures were used to develop a classifier that distinguishes Ca²⁺-binding loops and non Ca²⁺-binding regions with 100% accuracy. To investigate further, we performed a proteome-wide prediction for E. histolytica, and classified known EF-hand proteins. We compared our results with published methods on the E. histolytica proteome scan, and demonstrated our method to be more specific and accurate for predicting potential canonical Ca²⁺-binding loops. Furthermore, we annotated canonical EF-hand motifs and classified them based on their Ca²⁺-binding affinities using support vector machines. Using a novel method generated from position-specific scoring metrics and then tested against three different experimentally derived EF-hand-motif datasets, predictions of Ca²⁺-binding affinities were between 87 and 90% accurate. Our results show that the tool described here is capable of predicting Ca²⁺-binding affinity constants of EF-hand proteins.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
/ Binding
/ Calcium
/ Calcium-Binding Proteins - chemistry
/ Calcium-Binding Proteins - metabolism
/ Computational Biology - methods
/ EF-hand
/ Entamoeba histolytica - chemistry
/ Entamoeba histolytica - metabolism
/ Internet
/ Position-Specific Scoring Matrices
/ Proteins
/ Proteome
/ Protozoan Proteins - chemistry
/ Protozoan Proteins - metabolism
/ Servers
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