Gajendra PS Raghava

About Gajendra PS Raghava

Gajendra PS Raghava, With an exceptional h-index of 84 and a recent h-index of 61 (since 2020), a distinguished researcher at Indraprastha Institute of Information Technology, specializes in the field of Machine Learning, Computational Proteomics, Peptide Therapeutics, Computer Science, Immunoinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Genome-based solutions for managing mucormycosis.

AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria

Prediction of anti-freezing proteins from their evolutionary profile

Molecular Property Diagnostic Suite for COVID-19 (MPDSCOVID-19): an open-source disease-specific drug discovery portal

A random forest model for predicting exosomal proteins using evolutionary information and motifs

MRSLpred-A hybrid approach for predicting multi-label subcellular localization of mRNA at genome scale

A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence

A Deep Learning method for classification of HNSCC and HPV patients using single-cell transcriptomics

Gajendra PS Raghava Information

University

Position

IIIT-Delhi India

Citations(all)

27414

Citations(since 2020)

14410

Cited By

17968

hIndex(all)

84

hIndex(since 2020)

61

i10Index(all)

258

i10Index(since 2020)

204

Email

University Profile Page

Indraprastha Institute of Information Technology

Google Scholar

View Google Scholar Profile

Gajendra PS Raghava Skills & Research Interests

Machine Learning

Computational Proteomics

Peptide Therapeutics

Computer Science

Immunoinformatics

Top articles of Gajendra PS Raghava

Title

Journal

Author(s)

Publication Date

Genome-based solutions for managing mucormycosis.

Ritu Tomer

Sumeet Patiyal

Dilraj Kaur

Shubham Choudhury

Gajendra PS Raghava

2024/2/14

AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria

Antibiotics

Nisha Bajiya

Shubham Choudhury

Anjali Dhall

Gajendra PS Raghava

2024/2/8

Prediction of anti-freezing proteins from their evolutionary profile

bioRxiv

Nishant Kumar

Shubham Choudhury

Nisha Bajiya

Sumeet Patiyal

Gajendra PS Raghava

2024

Molecular Property Diagnostic Suite for COVID-19 (MPDSCOVID-19): an open-source disease-specific drug discovery portal

G Narahari Sastry

Lipsa Priyadarsinee

Esther Jamir

Selvaraman Nagamani

Hridoy Jyoti Mahanta

...

2023

A random forest model for predicting exosomal proteins using evolutionary information and motifs

Proteomics

Akanksha Arora

Sumeet Patiyal

Neelam Sharma

Naorem Leimarembi Devi

Dashleen Kaur

...

2023/2/2

MRSLpred-A hybrid approach for predicting multi-label subcellular localization of mRNA at genome scale

Frontiers in Bioinformatics

Shubham Choudhury

Nisha Bajiya

Sumeet Patiyal

Gajendra PS Raghava

2024/1

A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence

Computers in Biology and Medicine

Nishant Kumar

Sadhana Tripathi

Neelam Sharma

Sumeet Patiyal

Naorem Leimarembi Devi

...

2024/3/1

A Deep Learning method for classification of HNSCC and HPV patients using single-cell transcriptomics

bioRxiv

Akanksha Jarwal

Anjali Dhall

Akanksha Arora

Sumeet Patiyal

Aman Srivastava

...

2023

SalivaDB—a comprehensive database for salivary biomarkers in humans

Database

Akanksha Arora

Dashleen Kaur

Sumeet Patiyal

Dilraj Kaur

Ritu Tomer

...

2023

In silico tools and databases for designing cancer immunotherapy

Anjali Dhall

Shipra Jain

Neelam Sharma

Leimarembi Devi Naorem

Dilraj Kaur

...

2022/1/1

Potent peptide inhibitors of protein aggregation

2023/7/6

A highly accurate model for screening prostate cancer using propensity index panel of ten genes

Journal of Computational Biology

Shipra Jain

Kawal Preet Kaur Malhotra

Sumeet Patiyal

Gajendra Pal Singh Raghava

2023/12/1

ToxinPred 3.0: An improved method for predicting the toxicity of peptides

bioRxiv

Anand Singh Rathore

Akanksha Arora

Shubham PS Choudhury

Purva Tijare

Gajendra Pal Singh Raghava

2023

A hybrid method for discovering interferon-gamma inducing peptides in human and mouse

bioRxiv

Anjali Dhall

Sumeet Patiyal

Gajendra PS Raghava

2023

Pfeature: A Tool for Computing Wide Range of Protein Features and Building Prediction Models

Journal of Computational Biology

Akshara Pande

Sumeet Patiyal

Anjali Lathwal

Chakit Arora

Dilraj Kaur

...

2023/2/1

Multi‐perspectives and challenges in identifying B‐cell epitopes

Nishant Kumar

Nisha Bajiya

Sumeet Patiyal

Gajendra PS Raghava

2023/11

A web server for predicting and scanning of IL-5 inducing peptides using alignment-free and alignment-based method

Computers in Biology and Medicine

Naorem Leimarembi Devi

Neelam Sharma

Gajendra PS Raghava

2023/4/4

Prediction of celiac disease associated epitopes and motifs in a protein

Frontiers in Immunology

Ritu Tomer

Sumeet Patiyal

Anjali Dhall

Gajendra PS Raghava

2023

HLA-DR4Pred2: an improved method for predicting HLA-DRB1* 04: 01 binders

bioRxiv

Sumeet Patiyal

Anjali Dhall

Nishant Kumar

Gajendra PS Raghava

2023

Development of in silico models for predicting Alzheimer’s disease from single cell genomics

Aman Srivastava

Gajendra Pal Singh Raghava

2023

See List of Professors in Gajendra PS Raghava University(Indraprastha Institute of Information Technology)

Co-Authors

H-index: 56
Manoj K. Bhasin

Manoj K. Bhasin

Emory University

H-index: 40
Kumardeep Chaudhary

Kumardeep Chaudhary

Icahn School of Medicine at Mount Sinai

H-index: 27
Manish Kumar

Manish Kumar

University of Delhi

H-index: 24
sandeep singh

sandeep singh

University of Virginia

H-index: 19
Sherry Bhalla

Sherry Bhalla

Icahn School of Medicine at Mount Sinai

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