AIMC Topic: Janus Kinase 2

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Development of machine learning models based on molecular fingerprints for selection of small molecule inhibitors against JAK2 protein.

Journal of computational chemistry Mar 16, 2023
Janus kinase 2 (JAK2) is emerging as a potential therapeutic target for many inflammatory diseases such as myeloproliferative disorders (MPD), cancer and rheumatoid arthritis (RA). In this study, we have collected experimental data of JAK2 protein co...
Machine Learning Algorithms Molecular Docking Simulation Janus Kinase 2
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Machine Learning Models Based on Molecular Fingerprints and an Extreme Gradient Boosting Method Lead to the Discovery of JAK2 Inhibitors.

Journal of chemical information and modeling Dec 4, 2019
Developing Janus kinase 2 (JAK2) inhibitors has become a significant focus for small-molecule drug discovery programs in recent years because the inhibition of JAK2 may be an effective approach for the treatment of myeloproliferative neoplasm. Here, ...
Machine Learning Drug Discovery User-Computer Interface Drug Evaluation, Preclinical Janus Kinase 2 Protein Kinase Inhibitors
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[Coexistence of mycosis fungoides and essential thrombocythemia with JAK2V617F].

Revista medica del Instituto Mexicano del Seguro Social Sep 2, 2019
BACKGROUND: The coexistence of myeloproliferative neoplasms (MPNs), specifically essential thrombocythemia and lymphoproliferative neoplasms, are a very rare finding with a frequency < 1%.
Humans Female Aged Mutation Gene Amplification Janus Kinase 2 Mycosis Fungoides Thrombocythemia, Essential
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Deep reinforcement learning for de novo drug design.

Science advances Jul 25, 2018
We have devised and implemented a novel computational strategy for de novo design of molecules with desired properties termed ReLeaSE (Reinforcement Learning for Structural Evolution). On the basis of deep and reinforcement learning (RL) approaches, ...
Neural Networks, Computer Drug Design Deep Learning Models, Molecular Janus Kinase 2 Quantitative Structure-Activity Relationship Small Molecule Libraries
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Leukaemia Stem Cells and Their Normal Stem Cell Counterparts Are Morphologically Distinguishable by Artificial Intelligence.

Journal of cellular and molecular medicine May 1, 2025
Leukaemia stem cells (LSCs) are a rare population among the bulk of leukaemia cells and are responsible for disease initiation, progression/relapse and insensitivity to therapies in numerous haematologic malignancies. Identification of LSCs and monit...
Humans Neural Networks, Computer Artificial Intelligence Animals Deep Learning Mice Neoplastic Stem Cells Stem Cells Janus Kinase 2 Polycythemia Vera Leukemia Hematopoietic Stem Cells
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JAKCalc: A machine-learning approach to rationalized JAK2 testing in patients with elevated hemoglobin levels.

Medicine Apr 5, 2024
The demand for Janus Kinase-2 (JAK2) testing has been disproportionate to the low yield of positive results, which highlights the need for more discerning test strategies. The aim of this study is to introduce an artificial intelligence application a...
Humans Artificial Intelligence Machine Learning Algorithms Hemoglobins Janus Kinase 2 Polycythemia
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