MetalloPred: A tool for hierarchical prediction of metal ion binding proteins using cluster of neural networks and sequence derived features

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ISSN Print: 2153-036X
ISSN Online: 2153-0378
www.scirp.org/journal/jbpc
E-mail: jbpc@scirp.org

"MetalloPred: A tool for hierarchical prediction of metal ion binding proteins using cluster of neural networks and sequence derived features"
written by Pradeep Kumar Naik, Piyush Ranjan, Pooja Kesari, Sankalp Jain,
published by Journal of Biophysical Chemistry, Vol.2 No.2, 2011

has been cited by the following article(s):

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[3]	Identification of a novel protein tether enriched at endoplasmic reticulum-plasma membrane contact sites and in volved in salt stress tolerance in Arabidopsis
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[4]	IDENTIFICATION OF A NOVEL PROTEIN TETHER ENRICHED AT ENDOPLASMIC RETICULUM-PLASMA MEMBRANE CONTACT SITES AND INVOLVED IN …
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[6]	Prediction of Nickel Binding Sites in Proteins from Amino acid Sequences by Radial Basis Function Neural Network Classifier
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[7]	Calciomics: integrative studies of Ca 2+-binding proteins and their interactomes in biological systems
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[8]	Calciomics: integrative studies of Ca2+-binding proteins and their interactomes in biological systems
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[9]	Positive evolutionary selection of an HD motif on Alzheimer precursor protein orthologues suggests a functional role
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[1]	Leveraging computational genomics to understand the molecular basis of metal homeostasis New Phytologist, 2020 DOI:10.1111/nph.16820

[2]	Engineering Tobacco Mosaic Virus and Its Virus‐Like‐Particles for Synthesis of Biotemplated Nanomaterials Biotechnology Journal, 2020 DOI:10.1002/biot.202000311

[3]	Calciomics: integrative studies of Ca2+-binding proteins and their interactomes in biological systems Metallomics, 2013 DOI:10.1039/C2MT20009K

[4]	Positive Evolutionary Selection of an HD Motif on Alzheimer Precursor Protein Orthologues Suggests a Functional Role PLoS Computational Biology, 2012 DOI:10.1371/journal.pcbi.1002356

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