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ORCIDGajendra P. S. Raghava
Gajendra Pal Singh Raghava – G. P. S. Raghava
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2020 – today
- 2024
[j99]Nishant Kumar, Sadhana Tripathi, Neelam Sharma
, Sumeet Patiyal, Naorem Leimarembi Devi, Gajendra P. S. Raghava:
A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence. Comput. Biol. Medicine 170: 108083 (2024)- [j98]Anand Singh Rathore, Shubham Choudhury, Akanksha Arora, Purva Tijare, Gajendra P. S. Raghava:
ToxinPred 3.0: An improved method for predicting the toxicity of peptides. Comput. Biol. Medicine 179: 108926 (2024) - [j97]Shubham Choudhury, Nisha Bajiya, Sumeet Patiyal, Gajendra P. S. Raghava:
MRSLpred - a hybrid approach for predicting multi-label subcellular localization of mRNA at the genome scale. Frontiers Bioinform. 4 (2024) - 2023
- [j96]Nisha Bajiya, Anjali Dhall, Suchet Aggarwal, Gajendra P. S. Raghava:
Advances in the field of phage-based therapy with special emphasis on computational resources. Briefings Bioinform. 24(1) (2023) - [j95]Nishant Kumar, Sumeet Patiyal, Shubham Choudhury, Ritu Tomer, Anjali Dhall, Gajendra P. S. Raghava:
DMPPred: a tool for identification of antigenic regions responsible for inducing type 1 diabetes mellitus. Briefings Bioinform. 24(1) (2023) - [j94]Sumeet Patiyal, Anjali Dhall, Khushboo Bajaj, Harshita Sahu, Gajendra P. S. Raghava:
Prediction of RNA-interacting residues in a protein using CNN and evolutionary profile. Briefings Bioinform. 24(1) (2023) - [j93]Akanksha Arora, Dashleen Kaur, Sumeet Patiyal, Dilraj Kaur, Ritu Tomer, Gajendra P. S. Raghava:
SalivaDB - a comprehensive database for salivary biomarkers in humans. Database J. Biol. Databases Curation 2023 (2023) - [j92]Naorem Leimarembi Devi, Neelam Sharma, Gajendra P. S. Raghava:
A web server for predicting and scanning of IL-5 inducing peptides using alignment-free and alignment-based method. Comput. Biol. Medicine 158: 106864 (2023) - [j91]Anjali Dhall, Sumeet Patiyal, Shubham Choudhury, Shipra Jain, Kashish Narang, Gajendra P. S. Raghava:
TNFepitope: A webserver for the prediction of TNF-α inducing epitopes. Comput. Biol. Medicine 160: 106929 (2023) - [j90]Anjali Dhall, Sumeet Patiyal, Harpreet Kaur, Gajendra P. S. Raghava:
Risk assessment of cancer patients based on HLA-I alleles, neobinders and expression of cytokines. Comput. Biol. Medicine 167: 107594 (2023) - [j89]Akshara Pande, Sumeet Patiyal, Anjali Lathwal, Chakit Arora, Dilraj Kaur, Anjali Dhall, Gaurav Mishra, Harpreet Kaur, Neelam Sharma, Shipra Jain, Salman Sadullah Usmani, Piyush Agrawal, Rajesh Kumar, Vinod Kumar, Gajendra P. S. Raghava:
Pfeature: A Tool for Computing Wide Range of Protein Features and Building Prediction Models. J. Comput. Biol. 30(2): 204-222 (2023) - [j88]Shipra Jain, Kawal Preet Kaur Malhotra, Sumeet Patiyal, Gajendra Pal Singh Raghava:
A Highly Accurate Model for Screening Prostate Cancer Using Propensity Index Panel of Ten Genes. J. Comput. Biol. 30(12): 1305-1314 (2023) - 2022
- [j87]Anjali Dhall, Sumeet Patiyal, Gajendra P. S. Raghava:
HLAncPred: a method for predicting promiscuous non-classical HLA binding sites. Briefings Bioinform. 23(5) (2022) - [j86]Sumeet Patiyal, Anjali Dhall, Gajendra P. S. Raghava:
A deep learning-based method for the prediction of DNA interacting residues in a protein. Briefings Bioinform. 23(5) (2022) - [j85]Neelam Sharma, Naorem Leimarembi Devi, Shipra Jain, Gajendra P. S. Raghava:
ToxinPred2: an improved method for predicting toxicity of proteins. Briefings Bioinform. 23(5) (2022) - [j84]Shipra Jain, Anjali Dhall, Sumeet Patiyal, Gajendra P. S. Raghava:
IL13Pred: A method for predicting immunoregulatory cytokine IL-13 inducing peptides. Comput. Biol. Medicine 143: 105297 (2022) - [j83]Satakshi Gupta, Neelam Sharma, Naorem Leimarembi Devi, Shipra Jain, Gajendra P. S. Raghava:
Collection, compilation and analysis of bacterial vaccines. Comput. Biol. Medicine 149: 106030 (2022) - [j82]Neelam Sharma, Naorem Leimarembi Devi, Satakshi Gupta, Gajendra P. S. Raghava:
Computational resources in healthcare. WIREs Data Mining Knowl. Discov. 12(3) (2022) - 2021
- [j81]Anjali Dhall, Sumeet Patiyal, Neelam Sharma, Salman Sadullah Usmani, Gajendra P. S. Raghava:
Computer-aided prediction and design of IL-6 inducing peptides: IL-6 plays a crucial role in COVID-19. Briefings Bioinform. 22(2): 936-945 (2021) - [j80]Piyush Agrawal, Dhruv Bhagat, Manish Mahalwal, Neelam Sharma, Gajendra P. S. Raghava:
AntiCP 2.0: an updated model for predicting anticancer peptides. Briefings Bioinform. 22(3) (2021) - [j79]Vivek Dhar Dwivedi, Aditya Arya, Pardeep Yadav, Rajesh Kumar, Vinod Kumar, Gajendra P. S. Raghava:
DenvInD: dengue virus inhibitors database for clinical and molecular research. Briefings Bioinform. 22(3) (2021) - [j78]Neelam Sharma, Sumeet Patiyal, Anjali Dhall, Akshara Pande, Chakit Arora, Gajendra P. S. Raghava:
AlgPred 2.0: an improved method for predicting allergenic proteins and mapping of IgE epitopes. Briefings Bioinform. 22(4) (2021) - [j77]Anjali Lathwal, Rajesh Kumar, Gajendra P. S. Raghava:
In-silico identification of subunit vaccine candidates against lung cancer-associated oncogenic viruses. Comput. Biol. Medicine 130: 104215 (2021) - [j76]Deepika Mathur, Harpreet Kaur, Anjali Dhall, Neelam Sharma, Gajendra P. S. Raghava:
SAPdb: A database of short peptides and the corresponding nanostructures formed by self-assembly. Comput. Biol. Medicine 133: 104391 (2021) - [j75]Neelam Sharma, Sumeet Patiyal, Anjali Dhall, Naorem Leimarembi Devi, Gajendra P. S. Raghava:
ChAlPred: A web server for prediction of allergenicity of chemical compounds. Comput. Biol. Medicine 136: 104746 (2021) - [j74]Anjali Dhall, Sumeet Patiyal, Neelam Sharma, Naorem Leimarembi Devi, Gajendra P. S. Raghava:
Computer-aided prediction of inhibitors against STAT3 for managing COVID-19 associated cytokine storm. Comput. Biol. Medicine 137: 104780 (2021) - [j73]Dikscha Sapra, Harpreet Kaur, Anjali Dhall, Gajendra P. S. Raghava:
ProCanBio: A Database of Manually Curated Biomarkers for Prostate Cancer. J. Comput. Biol. 28(12): 1248-1257 (2021) - [j72]Solveig 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, Earl 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:
Crowdsourcing digital health measures to predict Parkinson's disease severity: the Parkinson's Disease Digital Biomarker DREAM Challenge. npj Digit. Medicine 4 (2021) - 2020
- [j71]Harpreet Kaur, Sherry Bhalla, Dilraj Kaur, Gajendra P. S. Raghava:
CancerLivER: a database of liver cancer gene expression resources and biomarkers. Database J. Biol. Databases Curation 2020: baaa012 (2020)
2010 – 2019
- 2019
- [j70]Piyush Agrawal, Sumeet Patiyal, Rajesh Kumar, Vinod Kumar, Harinder Singh, Pawan Kumar Raghav, Gajendra P. S. Raghava:
ccPDB 2.0: an updated version of datasets created and compiled from Protein Data Bank. Database J. Biol. Databases Curation 2019: bay142 (2019) - [j69]Salman Sadullah Usmani, Piyush Agrawal, Manika Sehgal, Pradeep Kumar Patel, Gajendra P. S. Raghava:
ImmunoSPdb: an archive of immunosuppressive peptides. Database J. Biol. Databases Curation 2019: baz012 (2019) - [j68]Dilraj Kaur, Sumeet Patiyal, Neelam Sharma, Salman Sadullah Usmani, Gajendra P. S. Raghava:
PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands. Database J. Biol. Databases Curation 2019: baz076 (2019) - [j67]Sana Akhter, Harpreet Kaur, Piyush Agrawal, Gajendra P. S. Raghava:
RareLSD: a manually curated database of lysosomal enzymes associated with rare diseases. Database J. Biol. Databases Curation 2019: baz112 (2019) - [j66]Piyush Agrawal, Harinder Singh, Hemant Kumar Srivastava, Sandeep Singh, Gaurav Kishore, Gajendra P. S. Raghava:
Benchmarking of different molecular docking methods for protein-peptide docking. BMC Bioinform. 19-S(13): 105-124 (2019) - 2018
- [j65]Salman Sadullah Usmani, Rajesh Kumar, Vinod Kumar, Sandeep Singh, Gajendra P. S. Raghava:
AntiTbPdb: a knowledgebase of anti-tubercular peptides. Database J. Biol. Databases Curation 2018: bay025 (2018) - 2017
- [j64]Sandeep Kumar Dhanda, Salman Sadullah Usmani, Piyush Agrawal, Gandharva Nagpal, Ankur Gautam, Gajendra P. S. Raghava:
Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics. Briefings Bioinform. 18(3): 467-478 (2017) - [c2]Sherry Bhalla, Suresh Sharma, Gajendra Pal Singh Raghava:
Challenges in Prediction of different Cancer Stages using Gene Expression Profile of Cancer Patients. BCB 2017: 602 - 2016
- [j63]Piyush Agrawal, Sherry Bhalla, Salman Sadullah Usmani, Sandeep Singh, Kumardeep Chaudhary, Gajendra P. S. Raghava, Ankur Gautam:
CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides. Nucleic Acids Res. 44(Database-Issue): 1098-1103 (2016) - [j62]Sandeep Singh, Kumardeep Chaudhary, Sandeep Kumar Dhanda, Sherry Bhalla, Salman Sadullah Usmani, Ankur Gautam, Abhishek Tuknait, Piyush Agrawal, Deepika Mathur, Gajendra P. S. Raghava:
SATPdb: a database of structurally annotated therapeutic peptides. Nucleic Acids Res. 44(Database-Issue): 1119-1126 (2016) - 2015
- [j61]Atul Tyagi, Abhishek Tuknait, Priya Anand, Sudheer Gupta, Minakshi Sharma, Deepika Mathur, Anshika Joshi, Sandeep Singh, Ankur Gautam, Gajendra P. S. Raghava:
CancerPPD: a database of anticancer peptides and proteins. Nucleic Acids Res. 43(Database-Issue): 837-843 (2015) - [j60]Ravi Kumar, Kumardeep Chaudhary, Minakshi Sharma, Gandharva Nagpal, Jagat Singh Chauhan, Sandeep Singh, Ankur Gautam, Gajendra P. S. Raghava:
AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides. Nucleic Acids Res. 43(Database-Issue): 956-962 (2015) - 2014
- [j59]Divya Mehta, Priya Anand, Vineet Kumar, Anshika Joshi, Deepika Mathur, Sandeep Singh, Abhishek Tuknait, Kumardeep Chaudhary, Shailendra K. Gautam, Ankur Gautam, Grish C. Varshney, Gajendra P. S. Raghava:
ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures. Database J. Biol. Databases Curation 2014 (2014) - [j58]Arun Sharma, Deepak Singla, Mamoon Rashid, Gajendra Pal Singh Raghava:
Designing of peptides with desired half-life in intestine-like environment. BMC Bioinform. 15: 282 (2014) - [j57]Bharat Panwar, Gajendra P. S. Raghava:
Prediction of uridine modifications in tRNA sequences. BMC Bioinform. 15: 326 (2014) - [j56]Ankur Gautam, Kumardeep Chaudhary, Sandeep Singh, Anshika Joshi, Priya Anand, Abhishek Tuknait, Deepika Mathur, Grish C. Varshney, Gajendra P. S. Raghava:
Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides. Nucleic Acids Res. 42(Database-Issue): 444-449 (2014) - 2013
- [j55]Deeksha Bhartiya, Koustav Pal, Sourav Ghosh, Shruti Kapoor, Saakshi Jalali, Bharat Panwar, Sakshi Jain, Satish Sati, Shantanu Sengupta, Chetana Sachidanandan, Gajendra Pal Singh Raghava, Sridhar Sivasubbu, Vinod Scaria:
lncRNome: a comprehensive knowledgebase of human long noncoding RNAs. Database J. Biol. Databases Curation 2013 (2013) - [j54]Bharat Panwar, Sudheer Gupta, Gajendra P. S. Raghava:
Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information. BMC Bioinform. 14: 44 (2013) - [j53]Firoz Ahmed, Rakesh Kaundal, Gajendra P. S. Raghava:
PHDcleav: a SVM based method for predicting human Dicer cleavage sites using sequence and secondary structure of miRNA precursors. BMC Bioinform. 14(S-14): S9 (2013) - [j52]Manu Mangal, Parul Sagar, Harinder Singh, Gajendra P. S. Raghava, Subhash M. Agarwal:
NPACT: Naturally Occurring Plant-based Anti-cancer Compound-Activity-Target database. Nucleic Acids Res. 41(Database-Issue): 1124-1129 (2013) - 2012
- [j51]Ankur Gautam, Harinder Singh, Atul Tyagi, Kumardeep Chaudhary, Rahul Kumar, Pallavi Kapoor, G. P. S. Raghava:
CPPsite: a curated database of cell penetrating peptides. Database J. Biol. Databases Curation 2012 (2012) - [j50]Aadil H. Bhat, Homchoru Mondal, Jagat Singh Chauhan, Gajendra P. S. Raghava, Amrish Methi, Alka Rao:
ProGlycProt: a repository of experimentally characterized prokaryotic glycoproteins. Nucleic Acids Res. 40(Database-Issue): 388-393 (2012) - [j49]Harinder Singh, Jagat Singh Chauhan, M. Michael Gromiha, Gajendra P. S. Raghava:
ccPDB: compilation and creation of data sets from Protein Data Bank. Nucleic Acids Res. 40(Database-Issue): 486-489 (2012) - 2011
- [j48]Subhash M. Agarwal, Dhwani Raghav, Harinder Singh, G. P. S. Raghava:
CCDB: a curated database of genes involved in cervix cancer. Nucleic Acids Res. 39(Database-Issue): 975-979 (2011) - 2010
- [j47]Sneh Lata, Nitish K. Mishra, Gajendra P. S. Raghava:
AntiBP2: improved version of antibacterial peptide prediction. BMC Bioinform. 11(S-1): 19 (2010) - [j46]Nitish K. Mishra, Gajendra P. S. Raghava:
Prediction of FAD interacting residues in a protein from its primary sequence using evolutionary information. BMC Bioinform. 11(S-1): 48 (2010) - [j45]Aarti Garg, Rupinder Tewari, Gajendra P. S. Raghava:
Virtual Screening of potential drug-like inhibitors against Lysine/DAP pathway of Mycobacterium tuberculosis. BMC Bioinform. 11(S-1): 53 (2010) - [j44]Aarti Garg, Rupinder Tewari, Gajendra P. S. Raghava:
KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials. BMC Bioinform. 11: 125 (2010) - [j43]Hifzur Rahman Ansari, Gajendra P. S. Raghava:
Identification of NAD interacting residues in proteins. BMC Bioinform. 11: 160 (2010) - [j42]Jagat Singh Chauhan, Nitish K. Mishra, Gajendra P. S. Raghava:
Prediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary information. BMC Bioinform. 11: 301 (2010) - [j41]Hifzur Rahman Ansari, Darren R. Flower, G. P. S. Raghava:
AntigenDB: an immunoinformatics database of pathogen antigens. Nucleic Acids Res. 38(Database-Issue): 847-853 (2010)
2000 – 2009
- 2009
- [j40]Firoz Ahmed, Hifzur Rahman Ansari, Gajendra P. S. Raghava:
Prediction of guide strand of microRNAs from its sequence and secondary structure. BMC Bioinform. 10 (2009) - [j39]Jagat Singh Chauhan, Nitish K. Mishra, Gajendra P. S. Raghava:
Identification of ATP binding residues of a protein from its primary sequence. BMC Bioinform. 10: 434 (2009) - [j38]Manish Kumar, Gajendra P. S. Raghava:
Prediction of nuclear proteins using SVM and HMM models. BMC Bioinform. 10 (2009) - [j37]Firoz Ahmed, Manish Kumar, Gajendra P. S. Raghava:
Prediction of Polyadenylation Signals in Human DNA Sequences using Nucleotide Frequencies. Silico Biol. 9(3): 135-148 (2009) - 2008
- [j36]Aarti Garg, Gajendra P. S. Raghava:
ESLpred2: improved method for predicting subcellular localization of eukaryotic proteins. BMC Bioinform. 9 (2008) - [j35]Ruchi Verma, Ajit Tiwari, Sukhwinder Kaur, Grish C. Varshney, Gajendra P. S. Raghava:
Identification of Proteins Secreted by Malaria Parasite into Erythrocyte using SVM and PSSM profiles. BMC Bioinform. 9 (2008) - [j34]Manish Kumar, Varun Thakur, Gajendra P. S. Raghava:
COPid: Composition Based Protein Identification. Silico Biol. 8(2): 121-128 (2008) - [j33]Aarti Garg, Gajendra P. S. Raghava:
A Machine Learning Based Method for the Prediction of Secretory Proteins Using Amino Acid Composition, Their Order and Similarity-Search. Silico Biol. 8(2): 129-140 (2008) - 2007
- [j32]Manish Kumar, M. Michael Gromiha, Gajendra P. S. Raghava:
Identification of DNA-binding proteins using support vector machines and evolutionary profiles. BMC Bioinform. 8 (2007) - [j31]Sneh Lata, B. K. Sharma, G. P. S. Raghava:
Analysis and prediction of antibacterial peptides. BMC Bioinform. 8 (2007) - [j30]Mamoon Rashid, Sudipto Saha, Gajendra P. S. Raghava:
Support Vector Machine-based method for predicting subcellular localization of mycobacterial proteins using evolutionary information and motifs. BMC Bioinform. 8 (2007) - [j29]S. Muthukrishnan, Aarti Garg, G. P. S. Raghava:
Oxypred: Prediction and Classification of Oxygen-Binding Proteins. Genom. Proteom. Bioinform. 5(3-4): 250-252 (2007) - [j28]Sudipto Saha, Gajendra P. S. Raghava:
Prediction of Neurotoxins Based on Their Function and Source. Silico Biol. 7(4-5): 369-387 (2007) - [j27]Sudipto Saha, Gajendra P. S. Raghava:
BTXpred: Prediction of Bacterial Toxins. Silico Biol. 7(4-5): 405-412 (2007) - 2006
- [j26]Mahender Kumar Singh, Shilpy Srivastava, G. P. S. Raghava, Grish C. Varshney:
HaptenDB: a comprehensive database of haptens, carrier proteins and anti-hapten antibodies. Bioinform. 22(2): 253-255 (2006) - [j25]G. P. S. Raghava, Geoffrey J. Barton:
Quantification of the variation in percentage identity for protein sequence alignments. BMC Bioinform. 7: 415 (2006) - [j24]Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Raghava:
Machine learning techniques in disease forecasting: a case study on rice blast prediction. BMC Bioinform. 7: 485 (2006) - [j23]Sudipto Saha, G. P. S. Raghava:
VICMpred: An SVM-based Method for the Prediction of Functional Proteins of Gram-negative Bacteria Using Amino Acid Patterns and Composition. Genom. Proteom. Bioinform. 4(1): 42-47 (2006) - [j22]Sudipto Saha, Jyoti Zack, Balvinder Singh, G. P. S. Raghava:
VGIchan: Prediction and Classification of Voltage-Gated Ion Channels. Genom. Proteom. Bioinform. 4(4): 253-258 (2006) - [j21]Harpreet Kaur, Gajendra P. S. Raghava:
Prediction of Cα-H·O and Cα-H·π Interactions in Proteins Using Recurrent Neural Network. Silico Biol. 6(1-2): 111-125 (2006) - [j20]Sudipto Saha, G. P. S. Raghava:
AlgPred: prediction of allergenic proteins and mapping of IgE epitopes. Nucleic Acids Res. 34(Web-Server-Issue): 202-209 (2006) - [j19]Jong Kyoung Kim, G. P. S. Raghava, Sung Yang Bang, Seungjin Choi:
Prediction of subcellular localization of proteins using pairwise sequence alignment and support vector machine. Pattern Recognit. Lett. 27(9): 996-1001 (2006) - 2005
- [j18]Manoj Bhasin, Aarti Garg, G. P. S. Raghava:
PSLpred: prediction of subcellular localization of bacterial proteins. Bioinform. 21(10): 2522-2524 (2005) - [j17]Gajendra P. S. Raghava, Joon H. Han:
Correlation and prediction of gene expression level from amino acid and dipeptide composition of its protein. BMC Bioinform. 6: 59 (2005) - [j16]Manoj Bhasin, G. P. S. Raghava:
GPCRsclass: a web tool for the classification of amine type of G-protein-coupled receptors. Nucleic Acids Res. 33(Web-Server-Issue): 143-147 (2005) - [j15]Manish Kumar, Manoj Bhasin, Navjot K. Natt, G. P. S. Raghava:
BhairPred: prediction of ß-hairpins in a protein from multiple alignment information using ANN and SVM techniques. Nucleic Acids Res. 33(Web-Server-Issue): 154-159 (2005) - [j14]Manoj Bhasin, G. P. S. Raghava:
Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences. Nucleic Acids Res. 33(Web-Server-Issue): 202-207 (2005) - 2004
- [j13]Manoj Bhasin, G. P. S. Raghava:
SVM based method for predicting HLA-DRB1*0401 binding peptides in an antigen sequence. Bioinform. 20(3): 421-423 (2004) - [j12]Deepak Sharma, Biju Issac, G. P. S. Raghava, Ramakrishna Ramaswamy:
Spectral Repeat Finder (SRF): identification of repetitive sequences using Fourier transformation. Bioinform. 20(9): 1405-1412 (2004) - [j11]Harpreet Kaur, G. P. S. Raghava:
A neural network method for prediction of ?-turn types in proteins using evolutionary information. Bioinform. 20(16): 2751-2758 (2004) - [j10]Manoj Bhasin, G. P. S. Raghava:
GPCRpred: an SVM-based method for prediction of families and subfamilies of G-protein coupled receptors. Nucleic Acids Res. 32(Web-Server-Issue): 383-389 (2004) - [j9]Manoj Bhasin, G. P. S. Raghava:
ESLpred: SVM-based method for subcellular localization of eukaryotic proteins using dipeptide composition and PSI-BLAST. Nucleic Acids Res. 32(Web-Server-Issue): 414-419 (2004) - [c1]Sudipto Saha, G. P. S. Raghava:
BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties. ICARIS 2004: 197-204 - 2003
- [j8]Manoj Bhasin, Harpreet Singh, G. P. S. Raghava:
MHCBN: a comprehensive database of MHC binding and non-binding peptides. Bioinform. 19(5): 665-666 (2003) - [j7]Harpreet Singh, G. P. S. Raghava:
ProPred1: Prediction of Promiscuous MHC Class-I Binding Sites. Bioinform. 19(8): 1009-1014 (2003) - [j6]G. P. S. Raghava, Stephen M. J. Searle, Patrick C. Audley, Jonathan D. Barber, Geoffrey J. Barton:
OXBench: A benchmark for evaluation of protein multiple sequence alignment accuracy. BMC Bioinform. 4: 47 (2003) - [j5]Harpreet Kaur, G. P. S. Raghava:
Bteval: a Server for Evaluation of beta-turn Prediction Methods. J. Bioinform. Comput. Biol. 1(3): 495-504 (2003) - 2002
- [j4]Biju Issac, Harpreet Singh, Harpreet Kaur, G. P. S. Raghava:
Locating probable genes using Fourier transform approach. Bioinform. 18(1): 196-197 (2002) - [j3]Harpreet Kaur, G. P. S. Raghava:
BetaTPred: prediction of beta-TURNS in a protein using statistical algorithms. Bioinform. 18(3): 498-499 (2002) - [j2]Harpreet Kaur, G. P. S. Raghava:
An evaluation of ß-turn prediction methods. Bioinform. 18(11): 1508-1514 (2002) - 2001
- [j1]Harpreet Singh, G. P. S. Raghava:
ProPred: prediction of HLA-DR binding sites. Bioinform. 17(12): 1236-1237 (2001)
Coauthor Index
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last updated on 2025-01-20 23:04 CET by the dblp team
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