AIMC Topic: Molecular Targeted Therapy

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Exploring therapeutic and diagnostic potential of cysteine cathepsin as targets for cancer therapy with nanomedicine.

International journal of biological macromolecules Jun 1, 2025
Cysteine cathepsins have been discovered to be substantially expressed in multiple types of cancer. They play a key role in the progression and growth of these cancers, rendering them appealing targets for nanoscale delivery and noninvasive diagnosti...
Humans Drug Delivery Systems Nanomedicine Molecular Targeted Therapy Cathepsins Animals Neoplasms Nanoparticles
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Inside a Metastatic Fracture: Molecular Bases and New Potential Therapeutic Targets.

Cancer medicine May 1, 2025
INTRODUCTION: Bone metastases and pathological fractures significantly impact the prognosis and quality of life in cancer patients. However, clinical and radiological features alone have been shown to fail to predict skeletal related events of a bone...
Signal Transduction Humans Bone Morphogenetic Proteins Molecular Targeted Therapy Bone Neoplasms Integrins Biomarkers, Tumor Fractures, Spontaneous Matrix Metalloproteinases Animals Parathyroid Hormone-Related Protein
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Biologically Enhanced Machine Learning Model to uncover Novel Gene-Drug Targets for Alzheimer's Disease.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2025
Given the complexity and multifactorial nature of Alzheimer's disease, investigating potential drug-gene targets is imperative for developing effective therapies and advancing our understanding of the underlying mechanisms driving the disease. We pre...
Molecular Targeted Therapy Humans Drug Repositioning Machine Learning Knowledge Bases Computational Biology Alzheimer Disease Databases, Genetic
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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...
Molecular Targeted Therapy Drug Design Humans Immunoglobulin Variable Region Antibodies Artificial Intelligence Programmed Cell Death 1 Receptor Neoplasms
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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...
Humans Gene Expression Profiling Transcriptome Molecular Targeted Therapy Machine Learning Female Breast Neoplasms
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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...
Pharmaceutical Preparations Molecular Targeted Therapy Proteins Drug Repositioning Internet Algorithms Computer Simulation Reproducibility of Results Drug Discovery Protein Binding Computational Biology Machine Learning
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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...
Molecular Targeted Therapy Drugs, Investigational Internet Knowledge Bases Datasets as Topic Humans Software Databases, Factual Neoplasms Drug Discovery Antineoplastic Agents
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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...
Lung Neoplasms Treatment Outcome Carcinoma, Non-Small-Cell Lung Randomized Controlled Trials as Topic Neoplasm Staging Models, Biological Machine Learning Algorithms Prognosis Humans Molecular Targeted Therapy Combined Modality Therapy Kaplan-Meier Estimate Tumor Burden Stochastic Processes Neoplasm Metastasis
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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...
Support Vector Machine Bayes Theorem Molecular Targeted Therapy Machine Learning Animals Humans Neoplasms
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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 ...
Molecular Targeted Therapy Semantic Web Drug Discovery Big Data Humans Databases, Factual Biological Ontologies Animals
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