AIMC Topic: Molecular Targeted Therapy

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PD-1 Targeted Antibody Discovery Using AI Protein Diffusion.

Technology in cancer research & treatment Jan 1, 2024
The programmed cell death protein 1 (PD-1, CD279) is an important therapeutic target in many oncological diseases. This checkpoint protein inhibits T lymphocytes from attacking other cells in the body and thus blocking it improves the clearance of tu...
Humans Artificial Intelligence Programmed Cell Death 1 Receptor Molecular Targeted Therapy Immunoglobulin Variable Region Neoplasms Drug Design Antibodies
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A functional module states framework reveals transcriptional states for drug and target prediction.

Cell reports Jan 18, 2022
Cells are complex systems in which many functions are performed by different genetically defined and encoded functional modules. To systematically understand how these modules respond to drug or genetic perturbations, we develop a functional module s...
Molecular Targeted Therapy Humans Machine Learning Breast Neoplasms Female Gene Expression Profiling Transcriptome
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DTI-MLCD: predicting drug-target interactions using multi-label learning with community detection method.

Briefings in bioinformatics May 20, 2021
Identifying drug-target interactions (DTIs) is an important step for drug discovery and drug repositioning. To reduce the experimental cost, a large number of computational approaches have been proposed for this task. The machine learning-based model...
Algorithms Computer Simulation Reproducibility of Results Machine Learning Internet Computational Biology Drug Discovery Pharmaceutical Preparations Proteins Protein Binding Drug Repositioning Molecular Targeted Therapy
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Open Targets Platform: supporting systematic drug-target identification and prioritisation.

Nucleic acids research Jan 8, 2021
The Open Targets Platform (https://www.targetvalidation.org/) provides users with a queryable knowledgebase and user interface to aid systematic target identification and prioritisation for drug discovery based upon underlying evidence. It is publicl...
Internet Knowledge Bases Datasets as Topic Neoplasms Drug Discovery Antineoplastic Agents Molecular Targeted Therapy Drugs, Investigational Humans Software Databases, Factual
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Machine-Learning and Stochastic Tumor Growth Models for Predicting Outcomes in Patients With Advanced Non-Small-Cell Lung Cancer.

JCO clinical cancer informatics Sep 1, 2019
PURPOSE: The prediction of clinical outcomes for patients with cancer is central to precision medicine and the design of clinical trials. We developed and validated machine-learning models for three important clinical end points in patients with adva...
Molecular Targeted Therapy Kaplan-Meier Estimate Stochastic Processes Combined Modality Therapy Tumor Burden Neoplasm Metastasis Neoplasm Staging Models, Biological Algorithms Prognosis Lung Neoplasms Treatment Outcome Carcinoma, Non-Small-Cell Lung Humans Randomized Controlled Trials as Topic Machine Learning
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Identifying Cancer Targets Based on Machine Learning Methods via Chou's 5-steps Rule and General Pseudo Components.

Current topics in medicinal chemistry Jan 1, 2019
In recent years, the successful implementation of human genome project has made people realize that genetic, environmental and lifestyle factors should be combined together to study cancer due to the complexity and various forms of the disease. The i...
Bayes Theorem Molecular Targeted Therapy Animals Neoplasms Support Vector Machine Humans Machine Learning
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How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM).

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
Technological advancements in many fields have led to huge increases in data production, including data volume, diversity, and the speed at which new data is becoming available. In accordance with this, there is a lack of conformity in the ways data ...
Semantic Web Databases, Factual Big Data Humans Biological Ontologies Animals Molecular Targeted Therapy Drug Discovery
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Computational Approaches as Rational Decision Support Systems for Discovering Next-Generation Antitubercular Agents: Mini-Review.

Current computer-aided drug design Jan 1, 2019
Tuberculosis, malaria, dengue, chikungunya, leishmaniasis etc. are a large group of neglected tropical diseases that prevail in tropical and subtropical countries, affecting one billion people every year. Minimal funding and grants for research on th...
Drug Discovery Structure-Activity Relationship Antitubercular Agents Tuberculosis Ligands Mycobacterium tuberculosis Machine Learning Animals Humans Drug Design Molecular Targeted Therapy
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Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction.

Current drug metabolism Jan 1, 2019
BACKGROUND: The identification of drug-target interactions is a crucial issue in drug discovery. In recent years, researchers have made great efforts on the drug-target interaction predictions, and developed databases, software and computational meth...
Molecular Targeted Therapy Machine Learning Drug Discovery
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Foreword: computational special focus issue.

Future medicinal chemistry Jul 1, 2018
Machine Learning Humans Drug Discovery Quantitative Structure-Activity Relationship Artificial Intelligence Animals Obesity Neoplasms Molecular Targeted Therapy
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