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Indraprastha Institute of Information Technology DelhiORCID 0000-0002-9835-3650Unclaimed ORCID profile · follow to get notified of new preprints
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10 papers
Recent·Most cited
Chiori Tabe, Rajesh Kumar, Yue Huang, Michael J. Kruhlak, Ajit Kumar Sharma, Roshan L. Shrestha, Anish Thomas
This study identifies SAC competency as the determinant of sensitivity to KIF18A inhibition in SCLC, offering a predictive biomarker for targeted therapies.
Cancer Research Communications · Aug 26, 2026Peer-reviewedCancer Biology
Naman Kumar Mehta, Anjali Lathwal, Rajesh Kumar, Dilraj Kaur, Gajendra P. S. Raghava
The paper develops a tool to predict, design, and scan IL-2-inducing peptides using machine learning, deep learning, and ensemble methods, achieving high accuracy on multiple datasets.
Scientific Reports · Jul 16, 2025Peer-reviewedBioinformatics
Christopher William Schultz, Sourav Taru Saha, Anjali Dhall, Yang Zhang, Parth Anil Desai, Lőrinc Sándor Pongor, David A. Scheiblin, Valentin Magidson, Yilun Sun, Christophe E. Redon, Suresh Kumar, Manan Krishnamurthy, Henrique Bregolin Dias, Vasilisa Aksenova, Elizabeth G Giordano, , Anish Thomas
This study shows that LMNA deficiency in SCLC increases R-loop accumulation, leading to genomic instability and poor patient survival.
bioRxiv · Apr 29, 2025 · PreprintCancer Biology
Parth Anil Desai, Nobuyuki Takahashi, Rajesh Kumar, Samantha Nichols, Justin Malin, Allison L. Hunt, Christopher William Schultz, Yingying Cao, Desiree Tillo, Darryl Nousome, Lakshya Chauhan, Linda C. Sciuto, Kimberly Rae Jordan, Vinodh N. Rajapakse, Mayank Tandon, , Anish Thomas
This study maps the SCLC tumor microenvironment and identifies cancer-associated fibroblasts as key drivers of neuroendocrine state plasticity and poor prognosis.
Cell Reports Medicine · Jun 1, 2024Peer-reviewedCancer Biology
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 D. Kumar, Gajendra P. S. Raghava
The paper introduces a software package that computes over 50,000 features for protein/peptide function prediction, including residue-level annotations.
Journal of Computational Biology · Oct 17, 2022Peer-reviewedBioinformatics
Rajesh Kumar, Anjali Lathwal, Gajendra P. S. Raghava
The paper identifies prognostic alternative splicing events and mutations in pancreatic adenocarcinoma, showing improved risk prediction compared to existing models.
bioRxiv · Jun 2, 2021 · PreprintBioinformatics
Anjali Lathwal, Rajesh Kumar, Gajendra P. S. Raghava
OvirusTdb is a manually curated repository of oncolytic viruses used in cancer treatment, providing comprehensive information on 5927 virus records and their therapeutic applications.
Virology · Jun 9, 2020Peer-reviewedBioinformatics
Harpreet Kaur, Anjali Dhall, Rajesh Kumar, Gajendra P. S. Raghava
This study identifies a three-gene biomarker panel for hepatocellular carcinoma using large-scale transcriptomics data, showing high accuracy and prognostic potential across multiple platforms.
Frontiers in Genetics · Jan 10, 2020Peer-reviewedBioinformatics
Piyush Agrawal, Rajesh Kumar, Salman Sadullah Usmani, Anjali Dhall, Sumeet Patiyal, Neelam Sharma, Harpreet Kaur, Vinod D. Kumar, Dilraj Kaur, Shipra Jain, Akshara Pande, Sherry Bhalla, Gajendra P. S. Raghava
GPSRdocker provides a docker-based container integrating bioinformatics tools for genomics, proteomics, and systems biology, enabling local or cloud use of computational resources.
bioRxiv · Nov 4, 2019 · PreprintBioinformatics
Rajesh Kumar, Gandharva Nagpal, Vinod D. Kumar, Salman Sadullah Usmani, Piyush Agrawal, Gajendra P. S. Raghava
HumCFS is a manually curated database of human chromosomal fragile sites with annotated genes, miRNAs, and disease associations.
BMC Genomics · Apr 1, 2019Peer-reviewedBioinformatics