Kumardeep Chaudhary

发表

CancerDR: Cancer Drug Resistance Database

Rahul Kumar, Kumardeep Chaudhary, Sudheer Gupta, 2013, Scientific Reports.

Deep Learning data integration for better risk stratification models of bladder cancer

Kumardeep Chaudhary, L. Garmire, Olivier B. Poirion, 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

TumorHoPe: A Database of Tumor Homing Peptides

Rahul Kumar, Kumardeep Chaudhary, Harinder Singh, 2012, PloS one.

In Silico Approach for Predicting Toxicity of Peptides and Proteins

Rahul Kumar, Kumardeep Chaudhary, Sudheer Gupta, 2013, PloS one.

In Silico Models for Designing and Discovering Novel Anticancer Peptides

Kumardeep Chaudhary, A. Gautam, P. Kapoor, 2013, Scientific Reports.

Peptide toxicity prediction.

Rahul Kumar, Kumardeep Chaudhary, Sudheer Gupta, 2015, Methods in molecular biology.

SATPdb: a database of structurally annotated therapeutic peptides

Gajendra P. S. Raghava, Kumardeep Chaudhary, Salman Sadullah Usmani, 2015, Nucleic Acids Res..

In Silico Approach for Prediction of Antifungal Peptides

Kumardeep Chaudhary, Gajendra P.S. Raghava, R. Kumar, 2018, Front. Microbiol..

PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues

Kumardeep Chaudhary, Harinder Singh, Gajendra P.S. Raghava, 2015, Biology Direct.

Identification and characterization of novel protein-derived arginine-rich cell-penetrating peptides.

Rahul Kumar, Kumardeep Chaudhary, A. Gautam, 2015, European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V.

Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer

Kumardeep Chaudhary, L. Garmire, Olivier B. Poirion, 2017, Clinical Cancer Research.

Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes

Kumardeep Chaudhary, Sijia Huang, L. Garmire, 2018, Clinical Cancer Research.

Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer

Kumardeep Chaudhary, Gajendra P.S. Raghava, Harpreet Kaur, 2017, Scientific Reports.

Computational approach for designing tumor homing peptides

Rahul Kumar, Kumardeep Chaudhary, A. Gautam, 2013, Scientific Reports.

An in silico platform for predicting, screening and designing of antihypertensive peptides

Kumardeep Chaudhary, Gandharva Nagpal, Gajendra P.S. Raghava, 2015, Scientific Reports.

PCMdb: Pancreatic Cancer Methylation

Kumardeep Chaudhary, Gajendra P. S. Raghava, Ankur Gautam, 2014 .

A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys

Promila, Kumardeep Chaudhary, A. Agrawal, 2022, Computers in Biology and Medicine.

A data driven approach to identify ZM-447439 as a potential repurposed drug to overcome tamoxifen-resistance in breast cancer

Kumardeep Chaudhary, L. Garmire, P. Benny, 2020 .

A web bench for analysis and prediction of oncological status from proteomics data of urine samples

Kumardeep Chaudhary, A. Gautam, Gajendra P.S. Raghava, 2018, bioRxiv.

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A. S. Gaur, Deepak R. Bharti, Kumardeep Chaudhary, 2017, Journal of Chemical Sciences.

High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge

Rizwan Raheem Ahmed, Kumardeep Chaudhary, D. Dash, 2022, Nature Communications.

Editorial: Systems Biology and Omics Approaches for Understanding Complex Disease Biology

Kumardeep Chaudhary, A. Yadav, S. Banerjee, 2022, Frontiers in Genetics.

Deep Learning based multi-omics integration robustly predicts survival in liver cancer

Lana X. Garmire, Kumardeep Chaudhary, Liangqun Lu, 2017, bioRxiv.

Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines

Kumardeep Chaudhary, Gajendra P. S. Raghava, Ankur Gautam, 2016, BMC Cancer.

A Web Server and Mobile App for Computing Hemolytic Potency of Peptides

Ritesh Kumar, Gajendra P. S. Raghava, Priya Anand, 2016, Scientific Reports.

Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants

Gajendra P. S. Raghava, Kumardeep Chaudhary, Piyush Agrawal, 2017, Journal of Translational Medicine.

Cell Penetrating Peptides

Kumardeep Chaudhary, Arun Sharma, Rahul Kumar, 2016 .

A web-based resource for designing therapeutics against Ebola Virus

Gajendra P. S. Raghava, Kumardeep Chaudhary, Sandeep Kumar Dhanda, 2016, Scientific Reports.

Prediction of Immunomodulatory potential of an RNA sequence for designing non-toxic siRNAs and RNA-based vaccine adjuvants

Gajendra P. S. Raghava, Kumardeep Chaudhary, Sandeep Kumar Dhanda, 2016, Scientific Reports.

VaccineDA: Prediction, design and genome-wide screening of oligodeoxynucleotide-based vaccine adjuvants

Gajendra P. S. Raghava, Kumardeep Chaudhary, Sandeep Kumar Dhanda, 2015, Scientific Reports.

More Is Better: Recent Progress in Multi-Omics Data Integration Methods

Lana X. Garmire, Kumardeep Chaudhary, Sijia Huang, 2017, Front. Genet..

Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine

Gajendra P. S. Raghava, Kumardeep Chaudhary, Ankur Gautam, 2016, Scientific Reports.

CancerDR: Cancer Drug Resistance

Kumardeep Chaudhary, Sudheer Gupta, Harinder Singh, 2013 .

A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer

Shailesh Kumar, Kumardeep Chaudhary, Sudheer Gupta, 2016, PloS one.

CPPsite: a curated database of cell penetrating peptides

Gajendra P. S. Raghava, Rahul Kumar, Kumardeep Chaudhary, 2012, Database J. Biol. Databases Curation.

Exome-wide evaluation of rare coding variants using electronic health records identifies new gene–phenotype associations

Alexander Hanbo Li, Judy H. Cho, K. Kaestner, 2021, Nature Medicine.

Computational Prediction of the Immunomodulatory Potential of RNA Sequences.

Kumardeep Chaudhary, Gajendra Pal Singh Raghava, Sandeep Kumar Dhanda, 2017, Methods in molecular biology.

DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data

Lana X. Garmire, Kumardeep Chaudhary, Sijia Huang, 2019 .

Designing of promiscuous inhibitors against pancreatic cancer cell lines

Deepak Singla, Gajendra P. S. Raghava, Kumardeep Chaudhary, 2014, Scientific Reports.

PCMdb: Pancreatic Cancer Methylation Database

Gajendra P. S. Raghava, Kumardeep Chaudhary, Ankur Gautam, 2014, Scientific Reports.

PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues

Kumardeep Chaudhary, Harinder Singh, Gajendra P.S. Raghava, 2015, Biology Direct.

AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides

Gajendra P. S. Raghava, Ravi Kumar, Kumardeep Chaudhary, 2014, Nucleic Acids Res..

Lessons learned in virulence factor identification and data management from a hackathon on microbial virulence

E. Holloway, Kumardeep Chaudhary, M. Feldgarden, 2022, F1000Research.

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data

Fadhl M Alakwaa, Kumardeep Chaudhary, Lana X Garmire, 2017, bioRxiv.

A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys

Rajeev K Sukumaran, Promila, C. P. Pandey, 2021, Computers in Biology and Medicine.

Managing Drug Resistance in Cancer: Role of Cancer Informatics.

Rahul Kumar, Kumardeep Chaudhary, Sudheer Gupta, 2016, Methods in molecular biology.

Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides.

Kumardeep Chaudhary, Rahul Kumar, Ankur Gautam, 2015, Methods in molecular biology.

Multi-modal meta-analysis of 1494 hepatocellular carcinoma samples reveals vast impacts of consensus driver genes on phenotypes

Kumardeep Chaudhary, Sijia Huang, L. Garmire, 2017, bioRxiv.

CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides

Gajendra P. S. Raghava, Kumardeep Chaudhary, Salman Sadullah Usmani, 2015, Nucleic Acids Res..

Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants

Kumardeep Chaudhary, Gajendra P.S. Raghava, P. Agrawal, 2017, bioRxiv.

A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection

Thomas Yu, Ka Yee Yeung, Maria K. Jaakkola, 2018, Nature Communications.

ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures

Gajendra P. S. Raghava, Priya Anand, Vineet Kumar, 2014, Database J. Biol. Databases Curation.

Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides

Gajendra P. S. Raghava, Priya Anand, Kumardeep Chaudhary, 2013, Nucleic Acids Res..

Database tool CPPsite: a curated database of cell penetrating peptides

Rahul Kumar, Kumardeep Chaudhary, Harinder Singh, 2012 .

Assessing therapeutic potential of molecules: molecular property diagnostic suite for tuberculosis $$(\mathbf{MPDS}^{\mathbf{TB}})$$(MPDSTB)

Arun Sharma, Prasun Dutta, Devesh Kumar, 2017 .

Deep Learning data integration for better risk stratification models of bladder cancer

Kumardeep Chaudhary, L. Garmire, Olivier B. Poirion, 2018, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data

Kumardeep Chaudhary, L. Garmire, F. Alakwaa, 2017, bioRxiv.