Kumardeep Chaudhary

The share of this author’s assessed papers carrying a ⚑ flag. A concentration is a prompt for expert review — never, on its own, a determination about the person.

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How this author’s assessed papers reproduced — the outcome of reproduction attempts, not a judgement of the person. Coverage is partial and grows over time.

Assessed papers (1)

• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
  2021 L1 84/100

1 assessed by us (1 reproduced) · 177 not yet assessed — every PubMed paper on record, linked below.

• Artificial intelligence in multi-omics analysis of heart diseases ↗

  Progress in molecular biology and translational science · 2026 · PMID 42173636
  not yet assessed
• Burden of MASLD and liver fibrosis: evidence from Phenome India cohort ↗

  The Lancet Regional Health - Southeast Asia · 2026 · PMID 41684741
  not yet assessed
• Assessing Inter-platform Variability of Blood Parameters across Three Automated Platforms: Report from Multi-centric Phenome India Study ↗

  medRxiv · 2026
  not yet assessed
• Whole-Genome Landscape of Breast Cancers from India shows Distinct Clinically Actionable Subtypes ↗

  medRxiv · 2026
  not yet assessed
• Study research protocol for Phenome India-CSIR Health Cohort Knowledgebase: A prospective multi-modal follow-up study on a nationwide employee cohort ↗

  Biology Methods and Protocols · 2025 · PMID 41080463
  not yet assessed
• Type 2 diabetes mellitus associated pancreatic cancer prediction using combinations of machine learning models ↗

  Biomedical Signal Processing and Control · 2025
  not yet assessed
• Unveiling the Burden of MASLD and Liver Fibrosis in India: Novel Insights from the Phenome India Study into fibrosis without MASLD ↗

  medRxiv · 2025
  not yet assessed
• PhytoCAT: A Comprehensive Data Repository of PhytoChemicals for Affordable Breast Cancer Therapeutics ↗

  Current Pharmaceutical Biotechnology · 2025 · PMID 41029012
  not yet assessed
• SPARA: Software for Prediction of Antimicrobial Resistance using Artificial Intelligence ↗

  SSRN Electronic Journal · 2025
  not yet assessed
• Neutralizing antibody responses to SARS-CoV-2 Omicron variants: Post six months following two-dose & three-dose vaccination of ChAdOx1 nCoV-19 or BBV152 ↗

  International Journal of Microbiology Research · 2024 · PMID 38517215
  not yet assessed
• Large-scale genome-wide association study of coronary artery disease in genetically diverse populations ↗

  UNC Libraries · 2024
  not yet assessed
• A Machine Learning Prediction Model for Type 2 Diabetes Mellitus Associated Pancreatic Cancer ↗

  SSRN Electronic Journal · 2024
  not yet assessed
• Proteomic characterization of acute kidney injury in patients hospitalized with SARS-CoV2 infection ↗

  Communications Medicine · 2023 · PMID 37308534
  not yet assessed
• Population-level differences in COVID-19 prevalence, severity, and clinical outcome ↗

  Elsevier eBooks · 2023
  not yet assessed
• Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection ↗

  Research Square · 2023 · PMID 36993735
  not yet assessed
• Supplementary File S2: Description of results on differential tests of miRNAs and methylation from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S1: Clinical characteristics of the HCC cohorts used in this study from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Figures S1, S2, and S3 from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary File S1: Description of normalization methods used from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S3: Performance for cross-validation and confirmation cohorts when using alternative approaches, different normalizations, and different hyper-parameter values from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S2: ANOVA-based top features from three omics: mRNA, miR, and methylation from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S4: Performance of models constructed with one omic only from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Data from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Data from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary File S2: Description of results on differential tests of miRNAs and methylation from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S3: Performance for cross-validation and confirmation cohorts when using alternative approaches, different normalizations, and different hyper-parameter values from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Figures S1, S2, and S3 from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary File S1: Description of normalization methods used from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S1: Clinical characteristics of the HCC cohorts used in this study from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S4: Performance of models constructed with one omic only from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• Supplementary Table S2: ANOVA-based top features from three omics: mRNA, miR, and methylation from Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  2023
  not yet assessed
• List of contributors ↗

  Elsevier eBooks · 2023
  not yet assessed
• Artificial intelligence using multiomics/genetic tools and application in liver disease ↗

  Elsevier eBooks · 2023
  not yet assessed
• List of contributors ↗

  Elsevier eBooks · 2023
  not yet assessed
• Editorial: Recent advances in peptide informatics: challenges and opportunities ↗

  Frontiers in Bioinformatics · 2023 · PMID 37771678
  not yet assessed
• Cardiovascular Research Convergence 2023 ↗

  Journal of the Practice of Cardiovascular Sciences · 2023
  not yet assessed
• Comprehensive Report 12th Cardiovascular Research Convergence 2023 Bench to Bedside Jointly Organized by AIIMS, New Delhi and CSIR-IGIB, New Delhi ↗

  Journal of the Practice of Cardiovascular Sciences · 2023
  not yet assessed
• Large-scale genome-wide association study of coronary artery disease in genetically diverse populations ↗

  Nature Medicine · 2022 · PMID 35915156
  not yet assessed
• Whole-genome sequencing reveals host factors underlying critical COVID-19 ↗

  Nature · 2022 · PMID 35255492
  not yet assessed
• A first update on mapping the human genetic architecture of COVID-19 ↗

  Nature · 2022 · PMID 35922517
  not yet assessed
• Population-Based Penetrance of Deleterious Clinical Variants ↗

  JAMA · 2022 · PMID 35076666
  not yet assessed
• Coronary Risk Estimation Based on Clinical Data in Electronic Health Records ↗

  Journal of the American College of Cardiology · 2022 · PMID 35331410
  not yet assessed
• A machine learning-based approach to determine infection status in recipients of BBV152 (Covaxin) whole-virion inactivated SARS-CoV-2 vaccine for serological surveys ↗

  Computers in Biology and Medicine · 2022 · PMID 35483225
  not yet assessed
• High failure rate of ChAdOx1-nCoV19 immunization against asymptomatic infection in healthcare workers during a Delta variant surge ↗

  Nature Communications · 2022 · PMID 35365648
  not yet assessed
• Genome-first recall of healthy individuals by polygenic risk score reveals differences in coronary artery calcium ↗

  American Heart Journal · 2022 · PMID 35526571
  not yet assessed
• Lessons learned in virulence factor identification and data management from a hackathon on microbial virulence ↗

  F1000Research · 2022
  not yet assessed
• Editorial: Systems Biology and Omics Approaches for Understanding Complex Disease Biology ↗

  Frontiers in Genetics · 2022 · PMID 35495146
  not yet assessed
• Short-term prediction of coronary artery disease using serum metabolomic patterns ↗

  American Heart Journal Plus Cardiology Research and Practice · 2022 · PMID 36788979
  not yet assessed
• Mapping the human genetic architecture of COVID-19 ↗

  Nature · 2021 · PMID 34237774
  not yet assessed
• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data

  Genome Medicine · 2021 · PMID 34261540
  L1 84/100
• Exome-wide evaluation of rare coding variants using electronic health records identifies new gene–phenotype associations ↗

  Nature Medicine · 2021 · PMID 33432171
  not yet assessed
• Identification of discriminative gene-level and protein-level features associated with pathogenic gain-of-function and loss-of-function variants ↗

  The American Journal of Human Genetics · 2021 · PMID 34762822
  not yet assessed
• SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues ↗

  Cell Reports · 2021 · PMID 34762851
  not yet assessed
• Predictive Approaches for Acute Dialysis Requirement and Death in COVID-19 ↗

  Clinical Journal of the American Society of Nephrology · 2021 · PMID 34031183
  not yet assessed
• Kidney disease genetic risk variants alter lysosomal beta-mannosidase ( <i>MANBA</i> ) expression and disease severity ↗

  Science Translational Medicine · 2021 · PMID 33441424
  not yet assessed
• Genome-wide polygenic risk score for retinopathy of type 2 diabetes ↗

  Human Molecular Genetics · 2021 · PMID 33704450
  not yet assessed
• Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury ↗

  Blood Purification · 2021 · PMID 33631752
  not yet assessed
• Association of SARS-CoV-2 viral load at admission with in-hospital acute kidney injury: A retrospective cohort study ↗

  PLoS ONE · 2021 · PMID 33626098
  not yet assessed
• Genetic pleiotropy of <i>ERCC6</i> loss‐of‐function and deleterious missense variants links retinal dystrophy, arrhythmia, and immunodeficiency in diverse ancestries ↗

  Human Mutation · 2021 · PMID 34005834
  not yet assessed
• A large-scale multi-ethnic genome-wide association study of coronary artery disease ↗

  Research Square · 2021
  not yet assessed
• Proteomic Characterization of Acute Kidney Injury in Patients Hospitalized with SARS-CoV2 Infection ↗

  medRxiv · 2021 · PMID 36093350
  not yet assessed
• Ancestrally and Temporally Diverse Analysis of Penetrance of Clinical Variants in 72,434 Individuals ↗

  medRxiv · 2021
  not yet assessed
• Prevalence and Risk Factors of COPD in Nepal: A Systematic Review and Meta-Analysis ↗

  2021
  not yet assessed
• High failure rate of ChAdOx1 in healthcare workers during Delta variant surge: A case for continued use of masks post-vaccination ↗

  medRxiv · 2021
  not yet assessed
• Identification of Discriminative Gene-level and Protein-level Features Associated with Gain-of-Function and Loss-of-Function Mutations ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2021
  not yet assessed
• Genome-wide polygenic risk score method for diabetic kidney disease in patients with type 2 diabetes ↗

  medRxiv · 2021
  not yet assessed
• A machine learning-based approach to determine infection status in recipients of BBV152 whole virion inactivated SARS-CoV-2 vaccine for serological surveys ↗

  medRxiv · 2021
  not yet assessed
• Additional file 6 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 2 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 1 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Supplementary Material for: Comparison of Approaches for Prediction of Renal Replacement Therapy-Free Survival in Patients with Acute Kidney Injury ↗

  Figshare · 2021
  not yet assessed
• Additional file 5 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 8 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Additional file 3 of DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  Figshare · 2021
  not yet assessed
• Derivation and Validation of Genome‐Wide Polygenic Score for Ischemic Heart Failure ↗

  Journal of the American Heart Association · 2021 · PMID 34713709
  not yet assessed
• Limitations of Contemporary Guidelines for Managing Patients at High Genetic Risk of Coronary Artery Disease ↗

  Journal of the American College of Cardiology · 2020 · PMID 32498804
  not yet assessed
• Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury ↗

  Clinical Journal of the American Society of Nephrology · 2020 · PMID 33033164
  not yet assessed
• Transethnic Transferability of a Genome-Wide Polygenic Score for Coronary Artery Disease ↗

  Circulation Genomic and Precision Medicine · 2020 · PMID 33284643
  not yet assessed
• Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics ↗

  Cell Systems · 2020 · PMID 32710834
  not yet assessed
• Derivation and validation of genome-wide polygenic score for urinary tract stone diagnosis ↗

  Kidney International · 2020 · PMID 32540406
  not yet assessed
• Association of APOL1 Risk Genotype and Air Pollution for Kidney Disease ↗

  Clinical Journal of the American Society of Nephrology · 2020 · PMID 32079610
  not yet assessed
• The association of standard Kt/V and surface <scp>area‐normalized</scp> standard Kt/V with clinical outcomes in hemodialysis patients ↗

  Hemodialysis International · 2020 · PMID 32809268
  not yet assessed
• Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic Biobank ↗

  The American Journal of Cardiology · 2020 · PMID 33333072
  not yet assessed
• Acute Kidney Injury in Hospitalized Patients with COVID-19 ↗

  medRxiv · 2020 · PMID 32511564
  not yet assessed
• PD04-08 POLYGENIC RISK SCORE ASSOCIATES WITH URINARY TRACT STONE DIAGNOSIS IN MULTIETHNIC COHORT ↗

  The Journal of Urology · 2020
  not yet assessed
• Incidence of AKI in Hospitalized Patients with COVID-19 ↗

  Journal of the American Society of Nephrology · 2020
  not yet assessed
• A data driven approach to identify ZM-447439 as a potential repurposed drug to overcome tamoxifen-resistance in breast cancer ↗

  Research Square · 2020
  not yet assessed
• Machine Learning for Predication of Severe AKI in Hospitalized Patients with COVID-19 ↗

  Journal of the American Society of Nephrology · 2020
  not yet assessed
• Association of the V122I Hereditary Transthyretin Amyloidosis Genetic Variant With Heart Failure Among Individuals of African or Hispanic/Latino Ancestry ↗

  JAMA · 2019 · PMID 31821430
  not yet assessed
• Rate of Correction of Hypernatremia and Health Outcomes in Critically Ill Patients ↗

  Clinical Journal of the American Society of Nephrology · 2019 · PMID 30948456
  not yet assessed
• Natural language processing of electronic health records is superior to billing codes to identify symptom burden in hemodialysis patients ↗

  Kidney International · 2019 · PMID 31883805
  not yet assessed
• Machine Learning in Glomerular Diseases: Promise for Precision Medicine ↗

  American Journal of Kidney Diseases · 2019 · PMID 31200978
  not yet assessed
• DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data ↗

  medRxiv · 2019
  not yet assessed
• In Silico Approach for Prediction of Antifungal Peptides ↗

  Frontiers in Microbiology · 2018 · PMID 29535692
  not yet assessed
• Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants ↗

  Journal of Translational Medicine · 2018 · PMID 29970096
  not yet assessed
• Multimodal Meta-Analysis of 1,494 Hepatocellular Carcinoma Samples Reveals Significant Impact of Consensus Driver Genes on Phenotypes ↗

  Clinical Cancer Research · 2018 · PMID 30242023
  not yet assessed
• Deep Learning data integration for better risk stratification models of bladder cancer. ↗

  PubMed · 2018 · PMID 29888072
  not yet assessed
• Predicting the molecular subtype of breast cancer based on mammography and ultrasound findings ↗

  Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging · 2018 · PMID 30319215
  not yet assessed
• A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection ↗

  Nature Communications · 2018 · PMID 30356117
  not yet assessed
• Unsupervised Machine learning to subtype Sepsis-Associated Acute Kidney Injury ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2018
  not yet assessed
• A web bench for analysis and prediction of oncological status from proteomics data of urine samples ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2018
  not yet assessed
• MOESM1 of Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants ↗

  Figshare · 2018
  not yet assessed
• CancerUBM: A web bench for analysis and prediction of oncological status from proteomics data of urine samples

  Open MIND · 2018
  not yet assessed
• VaxinPAD: Computer-Aided Prediction of Antigen Presenting Cell Modulators for Designing Peptide-Based Vaccine Adjuvants ↗

  Open MIND · 2018
  not yet assessed
• VaxinPAD: Computer-Aided Prediction of Antigen Presenting Cell Modulators for Designing Peptide-Based Vaccine Adjuvants ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2018
  not yet assessed
• CancerUBM: A web bench for analysis and prediction of oncological status from proteomics data of urine samples ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2018
  not yet assessed
• CancerUBM: A web bench for analysis and prediction of oncological status from proteomics data of urine samples ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2018
  not yet assessed
• Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer ↗

  Clinical Cancer Research · 2017 · PMID 28982688
  not yet assessed
• More Is Better: Recent Progress in Multi-Omics Data Integration Methods ↗

  Frontiers in Genetics · 2017 · PMID 28670325
  not yet assessed
• Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data ↗

  Journal of Proteome Research · 2017 · PMID 29110491
  not yet assessed
• Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer ↗

  Scientific Reports · 2017 · PMID 28349958
  not yet assessed
• Assessing therapeutic potential of molecules: molecular property diagnostic suite for tuberculosis $$(\mathbf{MPDS}^{\mathbf{TB}})$$ ( MPDS TB ) ↗

  Journal of Chemical Sciences · 2017
  not yet assessed
• Computational Prediction of the Immunomodulatory Potential of RNA Sequences ↗

  Methods in molecular biology · 2017 · PMID 28730433
  not yet assessed
• Deep Learning based multi-omics integration robustly predicts survival in liver cancer ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2017
  not yet assessed
• Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2017
  not yet assessed
• Multi-modal meta-analysis of 1494 hepatocellular carcinoma samples reveals vast impacts of consensus driver genes on phenotypes ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2017
  not yet assessed
• Computer-aided prediction of antigen presenting cell modulators for designing peptide-based vaccine adjuvants ↗

  bioRxiv (Cold Spring Harbor Laboratory) · 2017
  not yet assessed
• CancerCSP: Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer ↗

  Open MIND · 2017
  not yet assessed
• CancerCSP: Gene expression-based biomarkers for discriminating early and late stage of clear cell renal cancer ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2017
  not yet assessed
• A Web Server and Mobile App for Computing Hemolytic Potency of Peptides ↗

  Scientific Reports · 2016 · PMID 26953092
  not yet assessed
• Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines ↗

  BMC Cancer · 2016 · PMID 26860193
  not yet assessed
• Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine ↗

  Scientific Reports · 2016 · PMID 27030518
  not yet assessed
• Prediction of Immunomodulatory potential of an RNA sequence for designing non-toxic siRNAs and RNA-based vaccine adjuvants ↗

  Scientific Reports · 2016 · PMID 26861761
  not yet assessed
• A web-based resource for designing therapeutics against Ebola Virus ↗

  Scientific Reports · 2016 · PMID 27113850
  not yet assessed
• A Platform for Designing Genome-Based Personalized Immunotherapy or Vaccine against Cancer ↗

  PLoS ONE · 2016 · PMID 27832200
  not yet assessed
• Managing Drug Resistance in Cancer: Role of Cancer Informatics ↗

  Methods in molecular biology · 2016 · PMID 26910081
  not yet assessed
• Additional file 1: Figure S1. of Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines ↗

  Figshare · 2016
  not yet assessed
• Additional file 1: Figure S1. of Prediction of anticancer molecules using hybrid model developed on molecules screened against NCI-60 cancer cell lines ↗

  Figshare · 2016
  not yet assessed
• CancerDP: Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine ↗

  Open MIND · 2016
  not yet assessed
• CancerDP: Prioritization of anticancer drugs against a cancer using genomic features of cancer cells: A step towards personalized medicine ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2016
  not yet assessed
• EbolaVCR: A web-based resource for designing therapeutics against Ebola Virus ↗

  Open MIND · 2016
  not yet assessed
• EbolaVCR: A web-based resource for designing therapeutics against Ebola Virus ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2016
  not yet assessed
• HemoPI: Prediction and virtual screening of hemolytic peptides ↗

  Open MIND · 2016
  not yet assessed
• HemoPI: Prediction and virtual screening of hemolytic peptides ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2016
  not yet assessed
• CancerSP: Cancer Stage Progression ↗

  Open MIND · 2016
  not yet assessed
• CancerSP: Cancer Stage Progression ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2016
  not yet assessed
• imRNA: Prediction of Immunomodulatory RNAs ↗

  Open MIND · 2016
  not yet assessed
• imRNA: Prediction of Immunomodulatory RNAs ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2016
  not yet assessed
• CPPsite 2.0: a repository of experimentally validated cell-penetrating peptides ↗

  Nucleic Acids Research · 2015 · PMID 26586798
  not yet assessed
• SATPdb: a database of structurally annotated therapeutic peptides ↗

  Nucleic Acids Research · 2015 · PMID 26527728
  not yet assessed
• PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues ↗

  Biology Direct · 2015 · PMID 26690490
  not yet assessed
• An in silico platform for predicting, screening and designing of antihypertensive peptides ↗

  Scientific Reports · 2015 · PMID 26213115
  not yet assessed
• Computer-Aided Virtual Screening and Designing of Cell-Penetrating Peptides ↗

  Methods in molecular biology · 2015 · PMID 26202262
  not yet assessed
• VaccineDA: Prediction, design and genome-wide screening of oligodeoxynucleotide-based vaccine adjuvants ↗

  Scientific Reports · 2015 · PMID 26212482
  not yet assessed
• PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues ↗

  SSRN Electronic Journal · 2015
  not yet assessed
• Additional file 2: of PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues ↗

  Figshare · 2015
  not yet assessed
• Additional file 1: of PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues ↗

  Figshare · 2015
  not yet assessed
• Additional file 1: of PEPstrMOD: structure prediction of peptides containing natural, non-natural and modified residues ↗

  Figshare · 2015
  not yet assessed
• AHTpin: An in silico platform for predicting, screening and designing of antihypertensive peptides ↗

  Open MIND · 2015
  not yet assessed
• AHTpin: An in silico platform for predicting, screening and designing of antihypertensive peptides ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2015
  not yet assessed
• Peptide Toxicity Prediction ↗

  Methods in molecular biology · 2014 · PMID 25555724
  not yet assessed
• AHTPDB: a comprehensive platform for analysis and presentation of antihypertensive peptides ↗

  Nucleic Acids Research · 2014 · PMID 25392419
  not yet assessed
• Tumor Homing Peptides as Molecular Probes for Cancer Therapeutics, Diagnostics and Theranostics ↗

  Current Medicinal Chemistry · 2014 · PMID 24533809
  not yet assessed
• ParaPep: a web resource for experimentally validated antiparasitic peptide sequences and their structures ↗

  Database · 2014 · PMID 24923818
  not yet assessed
• Identification and characterization of novel protein-derived arginine-rich cell-penetrating peptides ↗

  European Journal of Pharmaceutics and Biopharmaceutics · 2014 · PMID 25459448
  not yet assessed
• Designing of promiscuous inhibitors against pancreatic cancer cell lines ↗

  Scientific Reports · 2014 · PMID 24728108
  not yet assessed
• PCMdb: Pancreatic Cancer Methylation Database ↗

  Scientific Reports · 2014 · PMID 24569397
  not yet assessed
• PCMdb: Pancreatic Cancer Methylation

  2014
  not yet assessed
• Hemolytik: A Database of Hemolytic and Non-Hemolytic Peptides ↗

  Open MIND · 2014
  not yet assessed
• Hemolytik: A Database of Hemolytic and Non-Hemolytic Peptides ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2014
  not yet assessed
• DiPCell: Designing of promiscuous inhibitors against pancreatic cancer cell lines ↗

  Open MIND · 2014
  not yet assessed
• DiPCell: Designing of promiscuous inhibitors against pancreatic cancer cell lines ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2014
  not yet assessed
• PCMDB: A database of methylated genes in pancreatic cancer

  Open MIND · 2014
  not yet assessed
• In Silico Approach for Predicting Toxicity of Peptides and Proteins ↗

  PLoS ONE · 2013 · PMID 24058508
  not yet assessed
• In Silico Models for Designing and Discovering Novel Anticancer Peptides ↗

  Scientific Reports · 2013 · PMID 24136089
  not yet assessed
• In silico approaches for designing highly effective cell penetrating peptides ↗

  Journal of Translational Medicine · 2013 · PMID 23517638
  not yet assessed
• Hemolytik: a database of experimentally determined hemolytic and non-hemolytic peptides ↗

  Nucleic Acids Research · 2013 · PMID 24174543
  not yet assessed
• CancerDR: Cancer Drug Resistance Database ↗

  Scientific Reports · 2013 · PMID 23486013
  not yet assessed
• Computational approach for designing tumor homing peptides ↗

  Scientific Reports · 2013 · PMID 23558316
  not yet assessed
• CancerDR: CancerDR: Cancer Drug Resistance Database ↗

  Open MIND · 2013
  not yet assessed
• CancerDR: CancerDR: Cancer Drug Resistance Database ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2013
  not yet assessed
• CellPPD: In silico approaches for designing highly effective cell penetrating peptides ↗

  Open MIND · 2013
  not yet assessed
• CellPPD: In silico approaches for designing highly effective cell penetrating peptides ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2013
  not yet assessed
• ToxinPred: In Silico Approach for Predicting Toxicity of Peptides and Proteins ↗

  Open MIND · 2013
  not yet assessed
• ToxinPred: In Silico Approach for Predicting Toxicity of Peptides and Proteins ↗

  Zenodo (CERN European Organization for Nuclear Research) · 2013
  not yet assessed
• CPPsite: a curated database of cell penetrating peptides ↗

  Database · 2012 · PMID 22403286
  not yet assessed
• TumorHoPe: A Database of Tumor Homing Peptides ↗

  PLoS ONE · 2012 · PMID 22523575
  not yet assessed
• Database tool CPPsite: a curated database of cell penetrating peptides

  2012
  not yet assessed