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Drug Development for Rare Diseases

1, 2023

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Artificial Intelligence in Pharmaceutical Sciences

1, 2024

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Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

BMC bioinformatics, 2024-04, Vol.25 (1), p.1-9

2024

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Comprehensive Survey of Recent Drug Discovery Using Deep Learning

International journal of molecular sciences, 2021-09, Vol.22 (18), p.9983

2021

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A review on potential therapeutic targets for the treatment of leishmaniasis

Parasitology international, 2024-06, Vol.100, p.102863-102863, Article 102863

2024

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Drug Discovery Targeting Drug-Resistant Bacteria

1, 2020

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DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Journal of cheminformatics, 2020-06, Vol.12 (1), p.44-17, Article 44

2020

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Toll-Like Receptors and Cancer: MYD88 Mutation and Inflammation

Frontiers in immunology, 2014-07, Vol.5, p.367-367

2014

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An overview to understand the role of PE_PGRS family proteins in Mycobacterium tuberculosis H37Rv and their potential as new drug targets

Biotechnology and applied biochemistry, 2015-03, Vol.62 (2), p.145-153

Meena, Laxman S.

2015

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SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines

Journal of cheminformatics, 2017-04, Vol.9 (1), p.24-24, Article 24

2017

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Principles of Parenteral Solution Validation: A Practical Lifecycle Approach

1, 2019

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Drug Target Group Prediction with Multiple Drug Networks

Combinatorial chemistry & high throughput screening, 2020-01, Vol.23 (4), p.274

2020

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PBITV3: A robust and comprehensive tool for screening pathogenic proteomes for drug targets and prioritizing vaccine candidates

Protein science, 2024-02, Vol.33 (2), p.e4892-n/a

2024

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Computational Prediction of DrugTarget Interactions Using Chemical, Biological, and Network Features

Molecular informatics, 2014-10, Vol.33 (10), p.669-681

2014

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Reducing State Conflicts between Network Motifs Synergistically Enhances Cancer Drug Effects and Overcomes Adaptive Resistance

Cancers, 2024-04, Vol.16 (7), p.1337

2024

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Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities

Frontiers in chemistry, 2019-11, Vol.7, p.782

2019

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NGCN: Drug‐target interaction prediction by integrating information and feature learning from heterogeneous network

Journal of cellular and molecular medicine, 2024-04, Vol.28 (7), p.e18224-n/a

2024

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How to Integrate Quality by Efficient Design (QbED) in Product Development

Mittal, Bhavishya

1, 2019

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An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology

Frontiers in pharmacology, 2019-08, Vol.10, p.857-857

2019

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Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs

Frontiers in genetics, 2019-05, Vol.10, p.459-459

2019

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A consequence of drug targeting of aminoacyl‐tRNA synthetases in Mycobacteriumtuberculosis

Chemical biology & drug design, 2021-09, Vol.98 (3), p.421-434

2021

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A review of biomedical datasets relating to drug discovery: a knowledge graph perspective

Briefings in bioinformatics, 2022-11, Vol.23 (6)

2022

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Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs

Computational and structural biotechnology journal, 2020-01, Vol.18, p.1043-1055

2020

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A perspective on multi-target drug discovery and design for complex diseases

Clinical and translational medicine, 2018-01, Vol.7 (1), p.1-14

2018

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Using BERT to identify drug-target interactions from whole PubMed

BMC bioinformatics, 2022-06, Vol.23 (1), p.1-245, Article 245

2022

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Drug Development for Rare Diseases

Artificial Intelligence in Pharmaceutical Sciences

Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning

Comprehensive Survey of Recent Drug Discovery Using Deep Learning

A review on potential therapeutic targets for the treatment of leishmaniasis

Drug Discovery Targeting Drug-Resistant Bacteria

DTiGEMS+: drug–target interaction prediction using graph embedding, graph mining, and similarity-based techniques

Toll-Like Receptors and Cancer: MYD88 Mutation and Inflammation

An overview to understand the role of PE_PGRS family proteins in Mycobacterium tuberculosis H37Rv and their potential as new drug targets

SimBoost: a read-across approach for predicting drug–target binding affinities using gradient boosting machines

Principles of Parenteral Solution Validation: A Practical Lifecycle Approach

Drug Target Group Prediction with Multiple Drug Networks

PBITV3: A robust and comprehensive tool for screening pathogenic proteomes for drug targets and prioritizing vaccine candidates

Computational Prediction of DrugTarget Interactions Using Chemical, Biological, and Network Features

Reducing State Conflicts between Network Motifs Synergistically Enhances Cancer Drug Effects and Overcomes Adaptive Resistance

Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities

NGCN: Drug‐target interaction prediction by integrating information and feature learning from heterogeneous network

How to Integrate Quality by Efficient Design (QbED) in Product Development

An Insight Into the Molecular Mechanism of Berberine Towards Multiple Cancer Types Through Systems Pharmacology

Gradient Boosting Decision Tree-Based Method for Predicting Interactions Between Target Genes and Drugs

A consequence of drug targeting of aminoacyl‐tRNA synthetases in Mycobacteriumtuberculosis

A review of biomedical datasets relating to drug discovery: a knowledge graph perspective

Drug repositioning or target repositioning: A structural perspective of drug-target-indication relationship for available repurposed drugs

A perspective on multi-target drug discovery and design for complex diseases

Using BERT to identify drug-target interactions from whole PubMed

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