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GutBug: A Tool for Prediction of Human Gut Bacteria Mediated Biotransformation of Biotic and Xenobiotic Molecules Using Machine Learning

Journal of molecular biology, 2023-07, Vol.435 (14), p.168056-168056, Article 168056

2023

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MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets

BMC bioinformatics, 2022-11, Vol.23 (1), p.507-507, Article 507

2022

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Augmented drug combination dataset to improve the performance of machine learning models predicting synergistic anticancer effects

Scientific reports, 2024-01, Vol.14 (1), p.1668-1668, Article 1668

2024

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ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches

Frontiers in pharmacology, 2017-11, Vol.8, p.880-880

2017

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Molib: A machine learning based classification tool for the prediction of biofilm inhibitory molecules

Genomics (San Diego, Calif.), 2020-07, Vol.112 (4), p.2823-2832

2020

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Facilitating Clinical Studies in Rare Diseases

Advances in experimental medicine and biology, 2017, Vol.1031, p.125-140

2017

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Discovery of a tetracyclic indole alkaloid that postpones fibrillation of hen egg white lysozyme protein

International journal of biological macromolecules, 2021-07, Vol.183, p.1939-1947

2021

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Fabrication of chitosan microspheres using vanillin/TPP dual crosslinkers for protein antigens encapsulation

Carbohydrate polymers, 2015-09, Vol.128, p.188-198

2015

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Pyridine Borane as Alternative Reducing Agent to Sodium Cyanoborohydride for the PEGylation of L-asparaginase

Applied biochemistry and biotechnology, 2022-02, Vol.194 (2), p.827-847

2022

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Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design

Frontiers in pharmacology, 2022-03, Vol.13, p.837715-837715

2022

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SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy

Biomolecules (Basel, Switzerland), 2024-02, Vol.14 (3), p.253

2024

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Mechanistic and structural insight into promiscuity based metabolism of cardiac drug digoxin by gut microbial enzyme

Journal of cellular biochemistry, 2018-07, Vol.119 (7), p.5287-5296

2018

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Insights from Augmented Data Integration and Strong Regularization in Drug Synergy Prediction with SynerGNet

Machine learning and knowledge extraction, 2024-09, Vol.6 (3), p.1782-1797

2024

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Clinical research for rare disease: Opportunities, challenges, and solutions

Molecular genetics and metabolism, 2009-01, Vol.96 (1), p.20-26

2009

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The partnership of patient advocacy groups and clinical investigators in the rare diseases clinical research network

Orphanet journal of rare diseases, 2016-05, Vol.11 (1), p.66-66, Article 66

2016

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GraphSite: Ligand Binding Site Classification with Deep Graph Learning

Biomolecules (Basel, Switzerland), 2022-07, Vol.12 (8), p.1053

2022

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The Rare Diseases Clinical Research Network’s Organization and Approach to Observational Research and Health Outcomes Research

Journal of general internal medicine : JGIM, 2014-08, Vol.29 (Suppl 3), p.739-744

2014

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The case for global health reciprocal innovation

BMJ global health, 2024-05, Vol.8 (Suppl 7), p.e013582

2024

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A Global Health Reciprocal Innovation grant programme: 5-year review with lessons learnt

BMJ global health, 2023-11, Vol.8 (Suppl 7), p.e013585

2023

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Biomarkers in Cancer Screening: A Public Health Perspective

The Journal of nutrition, 2002-08, Vol.132 (8), p.2471S-2475S

2002

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Proteomics in the Forefront of Cancer Biomarker Discovery

Journal of proteome research, 2005-07, Vol.4 (4), p.1098-1103

2005

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DEIA is essential to advance the goals of translational science: Perspectives from NCATS

Journal of clinical and translational science, 2023, Vol.7 (1), p.e33-e33, Article e33

2023

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Proteomic Approaches within the NCI Early Detection Research Network for the Discovery and Identification of Cancer Biomarkers

Annals of the New York Academy of Sciences, 2001-09, Vol.945 (1), p.103-115

2001

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Physicochemical and thermal characterization of nonedible oilseed residual waste as sustainable solid biofuel

Waste management (Elmsford), 2014-10, Vol.34 (10), p.1836-1846

2014

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GutBug: A Tool for Prediction of Human Gut Bacteria Mediated Biotransformation of Biotic and Xenobiotic Molecules Using Machine Learning

MP4: a machine learning based classification tool for prediction and functional annotation of pathogenic proteins from metagenomic and genomic datasets

Augmented drug combination dataset to improve the performance of machine learning models predicting synergistic anticancer effects

ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches

Molib: A machine learning based classification tool for the prediction of biofilm inhibitory molecules

Facilitating Clinical Studies in Rare Diseases

Discovery of a tetracyclic indole alkaloid that postpones fibrillation of hen egg white lysozyme protein

Fabrication of chitosan microspheres using vanillin/TPP dual crosslinkers for protein antigens encapsulation

Pyridine Borane as Alternative Reducing Agent to Sodium Cyanoborohydride for the PEGylation of L-asparaginase

Pocket2Drug: An Encoder-Decoder Deep Neural Network for the Target-Based Drug Design

SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy

Mechanistic and structural insight into promiscuity based metabolism of cardiac drug digoxin by gut microbial enzyme

Insights from Augmented Data Integration and Strong Regularization in Drug Synergy Prediction with SynerGNet

Clinical research for rare disease: Opportunities, challenges, and solutions

The partnership of patient advocacy groups and clinical investigators in the rare diseases clinical research network

GraphSite: Ligand Binding Site Classification with Deep Graph Learning

Revisiting the NIH Taskforce on the Research needs of Eosinophil‐Associated Diseases (RE‐TREAD)

The Rare Diseases Clinical Research Network’s Organization and Approach to Observational Research and Health Outcomes Research

The case for global health reciprocal innovation

A Global Health Reciprocal Innovation grant programme: 5-year review with lessons learnt

Biomarkers in Cancer Screening: A Public Health Perspective

Proteomics in the Forefront of Cancer Biomarker Discovery

DEIA is essential to advance the goals of translational science: Perspectives from NCATS

Proteomic Approaches within the NCI Early Detection Research Network for the Discovery and Identification of Cancer Biomarkers

Physicochemical and thermal characterization of nonedible oilseed residual waste as sustainable solid biofuel

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