src-Family Kinases - AI Medical Compendium

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Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders.

Scientific reports Jan 13, 2025

Tyrosine-protein kinase Src plays a key role in cell proliferation and growth under favorable conditions, but its overexpression and genetic mutations can lead to the progression of various inflammatory diseases. Due to the specificity and selectivit...

Humans Machine Learning Molecular Docking Simulation Inflammation Support Vector Machine Drug Repositioning Molecular Dynamics Simulation Protein Kinase Inhibitors src-Family Kinases

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Using machine learning to dissect host kinases required for Leishmania internalization and development.

Molecular and biochemical parasitology Aug 22, 2024

The Leishmania life cycle alternates between promastigotes, found in the sandfly, and amastigotes, found in mammals. When an infected sandfly bites a host, promastigotes are engulfed by phagocytes (i.e., neutrophils, dendritic cells, and macrophages)...

Humans Machine Learning Macrophages Animals Mice Protein-Tyrosine Kinases Phagocytosis Protein Kinase Inhibitors Receptors, IgG Leishmaniasis Leishmania Host-Parasite Interactions Proto-Oncogene Proteins c-abl src-Family Kinases Leishmania mexicana

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Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration.

International journal of molecular sciences Sep 24, 2022

In the current study, we introduce an integrative machine learning strategy for the autonomous molecular design of protein kinase inhibitors using variational autoencoders and a novel cluster-based perturbation approach for exploration of the chemica...

Machine Learning Molecular Structure Protein Kinase Inhibitors Space Flight src-Family Kinases

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AIMC Topic: src-Family Kinases

Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders.

Using machine learning to dissect host kinases required for Leishmania internalization and development.

Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration.

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AIMC Topic: src-Family Kinases

Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders.

Using machine learning to dissect host kinases required for Leishmania internalization and development.

Interpretable Machine Learning Models for Molecular Design of Tyrosine Kinase Inhibitors Using Variational Autoencoders and Perturbation-Based Approach of Chemical Space Exploration.

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