Personal information

Activities

Employment (1)

King Abdullah University of Science and Technology: Thuwal, SA

(Bioscience Core Lab)
Employment
Source: Self-asserted source
Pugalenthi Ganesan

Education and qualifications (2)

Genome Institute of Singapore: Singapore, SG

(Post Doctoral)
Education
Source: Self-asserted source
Pugalenthi Ganesan

Bharathidasan University: Tiruchirappalli, Tamil Nadu, IN

PhD
Education
Source: Self-asserted source
Pugalenthi Ganesan

Works (41)

Nglyc: A random forest method for prediction of n-glycosylation sites in eukaryotic protein sequence

Protein and Peptide Letters
2020 | Journal article
EID:

2-s2.0-85079321216

Contributors: Pugalenthi, G.; Nithya, V.; Chou, K.-C.; Archunan, G.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Oncotarget
2016 | Journal article
EID:

2-s2.0-84982274239

Contributors: Tochhawng, L.; Deng, S.; Pugalenthi, G.; Kumar, A.P.; Lim, K.H.; Yang, H.; Hooi, S.C.; Goh, Y.C.; Maciver, S.K.; Pervaiz, S. et al.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Isolation and characterization of NDM-positive Escherichia coli from municipal wastewater in Jeddah, Saudi Arabia

Antimicrobial Agents and Chemotherapy
2016 | Journal article
EID:

2-s2.0-84983319713

Contributors: Mantilla-Calderon, D.; Jumat, M.R.; Wang, T.; Ganesan, P.; Al-Jassim, N.; Hong, P.-Y.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

International Journal of Immunogenetics
2014 | Journal article
EID:

2-s2.0-84892372038

Contributors: Sugumar, T.; Pugalenthi, G.; Harishankar, M.; Dhinakar Raj, G.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

FEBS Open Bio
2014 | Journal article
EID:

2-s2.0-84902986171

Contributors: Khan, M.S.; Khraiwesh, B.; Pugalenthi, G.; Gupta, R.S.; Singh, J.; Duttamajumder, S.K.; Kapur, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Journal of Theoretical Biology
2013 | Journal article
EID:

2-s2.0-84872408863

Contributors: Kandaswamy, K.K.; Pugalenthi, G.; Kalies, K.-U.; Hartmann, E.; Martinetz, T.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

PLoS ONE
2013 | Journal article
EID:

2-s2.0-84876012221

Contributors: Khraiwesh, B.; Pugalenthi, G.; Fedoroff, N.V.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Protein and Peptide Letters
2012 | Journal article
EID:

2-s2.0-84858167590

Contributors: Pugalenthi, G.; Kandaswamy, K.K.; Chou, K.-C.; Vivekanandan, S.; Kolatkar, P.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Structural analysis and dimerization profile of the SCAN domain of the pluripotency factor Zfp206

Nucleic Acids Research
2012 | Journal article
EID:

2-s2.0-84866918106

Contributors: Liang, Y.; Huimei Hong, F.; Ganesan, P.; Jiang, S.; Jauch, R.; Stanton, L.W.; Kolatkar, P.R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

3dswap-pred: Prediction of 3D domain swapping from protein sequence using random forest approach

Protein and Peptide Letters
2011 | Journal article
EID:

2-s2.0-79960575553

Contributors: Shameer, K.; Pugalenthi, G.; Kandaswamy, K.K.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

3DSwap: Curated knowledgebase of proteins involved in 3D domain swapping

Database
2011 | Journal article
EID:

2-s2.0-84855992317

Contributors: Shameer, K.; Shingate, P.N.; Manjunath, S.C.P.; Karthika, M.; Pugalenthi, G.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Journal of Theoretical Biology
2011 | Journal article
EID:

2-s2.0-78649326452

Contributors: Kandaswamy, K.K.; Chou, K.-C.; Martinetz, T.; Möller, S.; Suganthan, P.N.; Sridharan, S.; Pugalenthi, G.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

BMC Bioinformatics
2011 | Journal article
EID:

2-s2.0-80051652060

Contributors: Kandaswamy, K.K.; Pugalenthi, G.; Hazrati, M.K.; Kalies, K.-U.; Martinetz, T.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Amino Acids
2010 | Journal article
EID:

2-s2.0-78449268828

Contributors: Anand, A.; Pugalenthi, G.; Fogel, G.B.; Suganthan, P.N.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Identification and analysis of transcription factor family-specific features derived from DNA and protein information

Pattern Recognition Letters
2010 | Journal article
EID:

2-s2.0-77956342143

Contributors: Anand, A.; Pugalenthi, G.; Fogel, G.B.; Suganthan, P.N.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Identification of functionally diverse lipocalin proteins from sequence information using support vector machine

Amino Acids
2010 | Journal article
EID:

2-s2.0-77956893672

Contributors: Pugalenthi, G.; Kandaswamy, K.K.; Suganthan, P.N.; Archunan, G.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Insights into protein sequence and structure-derived features mediating 3D domain swapping mechanism using support vector machine based approach

Bioinformatics and Biology Insights
2010 | Journal article
EID:

2-s2.0-77955242486

Contributors: Shameer, K.; Pugalenthi, G.; Kandaswamy, K.K.; Suganthan, P.N.; Archunan, G.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Prediction of apoptosis protein locations with genetic algorithms and support vector machines through a new mode of pseudo amino acid composition

Protein and Peptide Letters
2010 | Journal article
EID:

2-s2.0-78650673337

Contributors: Kandaswamy, K.K.; Pugalenthi, G.; Möller, S.; Hartmann, E.; Kalies, K.-U.; Suganthan, P.N.; Martinetz, T.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Smpred: A support vector machine approach to identify structural motifs in protein structure without using evolutionary information

Journal of Biomolecular Structure and Dynamics
2010 | Journal article
EID:

2-s2.0-78649857193

Contributors: Pugalenthi, G.; Kandaswamy, K.K.; Suganthan, P.N.; Sowdhamini, R.; Martinetz, T.; Kolatkar, P.R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Biochemical and Biophysical Research Communications
2010 | Journal article
EID:

2-s2.0-73949133327

Contributors: Kandaswamy, K.K.; Pugalenthi, G.; Hartmann, E.; Kalies, K.-U.; Möller, S.; Suganthan, P.N.; Martinetz, T.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Protein and Peptide Letters
2010 | Journal article
EID:

2-s2.0-77950100747

Contributors: Kandaswamy, K.K.; Pugalenthi, G.; Suganthan, P.N.; Gangal, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Dna-prot: Identification of dna binding proteins from protein sequence information using random forest

Journal of Biomolecular Structure and Dynamics
2009 | Journal article
EID:

2-s2.0-67249090413

Contributors: Kumar, K.K.; Pugalenthi, G.; Suganthan, P.N.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Bioinformatics
2009 | Journal article
EID:

2-s2.0-58349085114

Contributors: Pugalenthi, G.; Tang, K.; Suganthan, P.N.; Chakrabarti, S.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Biochemical and Biophysical Research Communications
2009 | Journal article
EID:

2-s2.0-65649137001

Contributors: Tang, K.; Pugalenthi, G.; Suganthan, P.N.; Lanczycki, C.J.; Chakrabarti, S.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Biochemical and Biophysical Research Communications
2008 | Journal article
EID:

2-s2.0-38749104235

Contributors: Pugalenthi, G.; Kumar, K.K.; Suganthan, P.N.; Gangal, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Nucleic Acids Research
2008 | Journal article
EID:

2-s2.0-38549158429

Contributors: Pugalenthi, G.; Suganthan, P.N.; Sowdhamini, R.; Chakrabarti, S.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Predicting protein structural class by SVM with class-wise optimized features and decision probabilities

Journal of Theoretical Biology
2008 | Journal article
EID:

2-s2.0-45649085108

Contributors: Anand, A.; Pugalenthi, G.; Suganthan, P.N.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Prediction of transcription factor families using DNA sequence features

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2008 | Book
EID:

2-s2.0-57049132881

Contributors: Anand, A.; Fogel, G.B.; Pugalenthi, G.; Suganthan, P.N.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

A machine learning approach for the identification of odorant binding proteins from sequence-derived properties

BMC Bioinformatics
2007 | Journal article
EID:

2-s2.0-38649097852

Contributors: Pugalenthi, G.; Tang, K.; Suganthan, P.N.; Archunan, G.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

SMotif: A server for structural motifs in proteins

Bioinformatics
2007 | Journal article
EID:

2-s2.0-34047122756

Contributors: Pugalenthi, G.; Suganthan, P.N.; Sowdhamini, R.; Chakrabarti, S.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

HARMONY: A server for the assessment of protein structures

Nucleic Acids Research
2006 | Journal article
EID:

2-s2.0-33747820223

Contributors: Pugalenthi, G.; Shameer, K.; Srinivasan, N.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Nucleic acids research
2006 | Journal article
EID:

2-s2.0-33644874380

Contributors: Pugalenthi, G.; Bhaduri, A.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

SSToSS - Sequence-structural templates of single-member superfamilies

In Silico Biology
2006 | Journal article
EID:

2-s2.0-33748933404

Contributors: Chakrabarti, S.; Manohari, G.; Pugalenthi, G.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Nucleic Acids Research
2005 | Journal article
EID:

2-s2.0-23144453476

Contributors: Pugalenthi, G.; Archunan, G.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

GenDiS: Genomic Distribution of protein structural domain superfamilies

Nucleic Acids Research
2005 | Journal article
EID:

2-s2.0-13444254301

Contributors: Pugalenthi, G.; Bhaduri, A.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

Native and modeled disulfide bonds in proteins: Knowledge-based approaches toward structure prediction of disulfide-rich polypeptides

Proteins: Structure, Function and Genetics
2005 | Journal article
EID:

2-s2.0-13944284540

Contributors: Thangudu, R.R.; Vinayagam, A.; Pugalenthi, G.; Manonmani, A.; Offmann, B.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

Nucleic Acids Research
2005 | Journal article
EID:

2-s2.0-23144459084

Contributors: Chakrabarti, S.; Anand, A.P.; Bhardwaj, N.; Pugalenthi, G.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

DSDBASE: A consortium of native and modelled disulphide bonds in proteins

Nucleic Acids Research
2004 | Journal article
EID:

2-s2.0-0347755624

Contributors: Vinayagam, A.; Pugalenthi, G.; Rajesh, R.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

iMOT: An interactive package for the selection of spatially interacting motifs

Nucleic Acids Research
2004 | Journal article
EID:

2-s2.0-3242886774

Contributors: Bhaduri, A.; Pugalenthi, G.; Gupta, N.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

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

BMC Bioinformatics
2004 | Journal article
EID:

2-s2.0-2942522713

Contributors: Bhaduri, A.; Pugalenthi, G.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier

DDBASE2.0: Updated domain database with improved identification of structural domains

Bioinformatics
2003 | Journal article
EID:

2-s2.0-0141840835

Contributors: Vinayagam, A.; Shi, J.; Pugalenthi, G.; Meenakshi, B.; Blundell, T.L.; Sowdhamini, R.
Source: Self-asserted source
Pugalenthi Ganesan via Scopus - Elsevier