G. P. S. Raghava - researchr alias

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Viewing Publication 1 - 30 from 30

2021

Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM ChallengeSolveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Á Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, E. Ray Dorsey, Zafer Aydin, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, Avner G. S. Abrami, Aditya Adhikary, Carla Agurto, Sherry Bhalla, Halil Ibrahim Bilgin, Vittorio Caggiano, Jun Cheng, Eden Deng, Qiwei Gan, Rajan Girsa, Zhi Han, Stephen Heisig, Kun Huang, Samad Jahandideh, Wolfgang Kopp, Christoph F. Kurz, Gregor Lichtner, Raquel Norel, G. P. S. Raghava, Tavpritesh Sethi, Nicholas Shawen, Vaibhav Tripathi, Matthew Tsai, Tongxin Wang, Yi Wu, Jie Zhang, Xinyu Zhang, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg. npjdm, 4, 2021. [doi]

2012

CPPsite: a curated database of cell penetrating peptidesAnkur Gautam, Harinder Singh, Atul Tyagi, Kumardeep Chaudhary, Rahul Kumar, Pallavi Kapoor, G. P. S. Raghava. biodb, 2012, 2012. [doi]

2011

CCDB: a curated database of genes involved in cervix cancerSubhash M. Agarwal, Dhwani Raghav, Harinder Singh, G. P. S. Raghava. nar, 39(Database-Issue):975-979, 2011. [doi]

2010

AntigenDB: an immunoinformatics database of pathogen antigensHifzur Rahman Ansari, Darren R. Flower, G. P. S. Raghava. nar, 38(Database-Issue):847-853, 2010. [doi]

2007

Analysis and prediction of antibacterial peptidesSneh Lata, B. K. Sharma, G. P. S. Raghava. bmcbi, 8, 2007. [doi]

Oxypred: Prediction and Classification of Oxygen-Binding ProteinsS. Muthukrishnan, Aarti Garg, G. P. S. Raghava. gpb, 5(3-4):250-252, 2007. [doi]

2006

Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machineJong Kyoung Kim, G. P. S. Raghava, Sung Yang Bang, Seungjin Choi. prl, 27(9):996-1001, 2006. [doi]

Quantification of the variation in percentage identity for protein sequence alignmentsG. P. S. Raghava, Geoffrey J. Barton. bmcbi, 7:415, 2006. [doi]

VICMpred: An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and CompositionSudipto Saha, G. P. S. Raghava. gpb, 4(1):42-47, 2006. [doi]

AlgPred: prediction of allergenic proteins and mapping of IgE epitopesSudipto Saha, G. P. S. Raghava. nar, 34(Web-Server-Issue):202-209, 2006. [doi]

VGIchan: Prediction and Classification of Voltage-Gated Ion ChannelsSudipto Saha, Jyoti Zack, Balvinder Singh, G. P. S. Raghava. gpb, 4(4):253-258, 2006. [doi]

HaptenDB: a comprehensive database of haptens, carrier proteins and anti-hapten antibodiesMahender Kumar Singh, Shilpy Srivastava, G. P. S. Raghava, Grish C. Varshney. bioinformatics, 22(2):253-255, 2006. [doi]

2005

PSLpred: prediction of subcellular localization of bacterial proteinsManoj Bhasin, Aarti Garg, G. P. S. Raghava. bioinformatics, 21(10):2522-2524, 2005. [doi]

GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptorsManoj Bhasin, G. P. S. Raghava. nar, 33(Web-Server-Issue):143-147, 2005. [doi]

Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequencesManoj Bhasin, G. P. S. Raghava. nar, 33(Web-Server-Issue):202-207, 2005. [doi]

BhairPred: prediction of ß-hairpins in a protein from multiple alignment information using ANN and SVM techniquesManish Kumar, Manoj Bhasin, Navjot K. Natt, G. P. S. Raghava. nar, 33(Web-Server-Issue):154-159, 2005. [doi]

2004

GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptorsManoj Bhasin, G. P. S. Raghava. nar, 32(Web-Server-Issue):383-389, 2004.

SVM based method for predicting HLA-DRB1:::*:::0401 binding peptides in an antigen sequenceManoj Bhasin, G. P. S. Raghava. bioinformatics, 20(3):421-423, 2004. [doi]

ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLASTManoj Bhasin, G. P. S. Raghava. nar, 32(Web-Server-Issue):414-419, 2004.

A neural network method for prediction of ?-turn types in proteins using evolutionary informationHarpreet Kaur, G. P. S. Raghava. bioinformatics, 20(16):2751-2758, 2004. [doi]

BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical PropertiesSudipto Saha, G. P. S. Raghava. icaris 2004: 197-204 [doi]

Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformationDeepak Sharma, Biju Issac, G. P. S. Raghava, R. Ramaswamy. bioinformatics, 20(9):1405-1412, 2004. [doi]

2003

2002

Locating probable genes using Fourier transform approachBiju Issac, Harpreet Singh, Harpreet Kaur, G. P. S. Raghava. bioinformatics, 18(1):196-197, 2002.

An evaluation of ß-turn prediction methodsHarpreet Kaur, G. P. S. Raghava. bioinformatics, 18(11):1508-1514, 2002.

BetaTPred: prediction of beta-TURNS in a protein using statistical algorithmsHarpreet Kaur, G. P. S. Raghava. bioinformatics, 18(3):498-499, 2002.

2001

ProPred: prediction of HLA-DR binding sitesHarpreet Singh, G. P. S. Raghava. bioinformatics, 17(12):1236-1237, 2001.

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