List of works - Ganesan Pugalenthi

3DSwap: curated knowledgebase of proteins involved in 3D domain swapping ⬇️

scientific article published on September 29, 2011

3dswap-pred: Prediction of 3D Domain Swapping from Protein Sequence Using Random Forest Approach ⬇️

scientific article published on October 1, 2011

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties

scientific article published on 4 November 2010

An approach for classification of highly imbalanced data using weighting and undersampling

scientific article

BLProt: prediction of bioluminescent proteins based on support vector machine and relieff feature selection

scientific article

DIAL: a web-based server for the automatic identification of structural domains in proteins

scientific article

DNA-Prot: identification of DNA binding proteins from protein sequence information using random forest.

scientific article

EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection ⬇️

scientific article published on January 21, 2013

Gelsolin-Cu/ZnSOD interaction alters intracellular reactive oxygen species levels to promote cancer cell invasion ⬇️

scientific article published on 06 July 2016

GenDiS: Genomic Distribution of protein structural domain Superfamilies

scientific article

Identification and Analysis of Red Sea Mangrove (Avicennia marina) microRNAs by High-Throughput Sequencing and Their Association with Stress Responses ⬇️

scientific article published on April 8, 2013

Identification of catalytic residues from protein structure using support vector machine with sequence and structural features.

scientific article

Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble

scientific article

Insights into Protein Sequence and Structure-Derived Features Mediating 3D Domain Swapping Mechanism using Support Vector Machine Based Approach.

scientific article

MegaMotifBase: a database of structural motifs in protein families and superfamilies

scientific article

Molecular cloning, sequencing and structural studies of granulocyte-macrophage colony-stimulating factor (GM-CSF) from Indian water buffalo (Bubalus bubalis).

scientific article published on 25 June 2013

PASS2: an automated database of protein alignments organised as structural superfamilies

scientific article

Prediction of Apoptosis Protein Locations with Genetic Algorithms and Support Vector Machines Through a New Mode of Pseudo Amino Acid Composition ⬇️

scientific article published on December 1, 2010

Prediction of functionally important sites from protein sequences using sparse kernel least squares classifiers

scientific article published on 24 April 2009

RSARF: prediction of residue solvent accessibility from protein sequence using random forest method

scientific article

SCANMOT: searching for similar sequences using a simultaneous scan of multiple sequence motifs

scientific article

SMotif: a server for structural motifs in proteins.

scientific article

SMpred: A Support Vector Machine Approach to Identify Structural Motifs in Protein Structure Without Using Evolutionary Information ⬇️

scientific article published on December 1, 2010

SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes.

scientific article

SVMCRYS: an SVM approach for the prediction of protein crystallization propensity from protein sequence

scientific article published on April 2010

Subtractive hybridization-mediated analysis of genes and in silico prediction of associated microRNAs under waterlogged conditions in sugarcane (Saccharum spp.).

scientific article

iMOTdb--a comprehensive collection of spatially interacting motifs in proteins

scientific article

List of works by Ganesan Pugalenthi

3DSwap: curated knowledgebase of proteins involved in 3D domain swapping ⬇️

3dswap-pred: Prediction of 3D Domain Swapping from Protein Sequence Using Random Forest Approach ⬇️

AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties

An approach for classification of highly imbalanced data using weighting and undersampling

BLProt: prediction of bioluminescent proteins based on support vector machine and relieff feature selection

DIAL: a web-based server for the automatic identification of structural domains in proteins

DNA-Prot: identification of DNA binding proteins from protein sequence information using random forest.

EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection ⬇️

Gelsolin-Cu/ZnSOD interaction alters intracellular reactive oxygen species levels to promote cancer cell invasion ⬇️

GenDiS: Genomic Distribution of protein structural domain Superfamilies

Identification and Analysis of Red Sea Mangrove (Avicennia marina) microRNAs by High-Throughput Sequencing and Their Association with Stress Responses ⬇️

Identification of catalytic residues from protein structure using support vector machine with sequence and structural features.

Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble

Insights into Protein Sequence and Structure-Derived Features Mediating 3D Domain Swapping Mechanism using Support Vector Machine Based Approach.

MegaMotifBase: a database of structural motifs in protein families and superfamilies

Molecular cloning, sequencing and structural studies of granulocyte-macrophage colony-stimulating factor (GM-CSF) from Indian water buffalo (Bubalus bubalis).

PASS2: an automated database of protein alignments organised as structural superfamilies

Prediction of Apoptosis Protein Locations with Genetic Algorithms and Support Vector Machines Through a New Mode of Pseudo Amino Acid Composition ⬇️

Prediction of functionally important sites from protein sequences using sparse kernel least squares classifiers

RSARF: prediction of residue solvent accessibility from protein sequence using random forest method

SCANMOT: searching for similar sequences using a simultaneous scan of multiple sequence motifs

SMotif: a server for structural motifs in proteins.

SMpred: A Support Vector Machine Approach to Identify Structural Motifs in Protein Structure Without Using Evolutionary Information ⬇️

SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes.

SVMCRYS: an SVM approach for the prediction of protein crystallization propensity from protein sequence

Subtractive hybridization-mediated analysis of genes and in silico prediction of associated microRNAs under waterlogged conditions in sugarcane (Saccharum spp.).

iMOTdb--a comprehensive collection of spatially interacting motifs in proteins