相关实验视频

Updated: Jan 6, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

5.4K

揭示精密药物设计的分子签名:机器学习从三氨酸减少酶,PKC-θ和CB1的洞察力

Sunil Sahu1, Adarsh Anmol1, Tushar Nishad1

  • 1Department of Biotechnology, National Institute of Technology Raipur, Raipur, Chhattisgarh, 492001, India.

Molecular diversity
|September 10, 2025
PubMed
概括

这项研究使用机器学习来预测Trypanothione减少酶 (TR),蛋白激酶C甲基 (PKC-θ) 和大麻素受体1 (CB1) 的药物生物活性. 该框架确定了关键的分子特征,加速了有效的药物设计.

关键词:
生物活性的预测预测.切姆布尔 (Chembl) 是一个机器学习 机器学习分子指纹是分子指纹.蛋白质 - 药物设计结构特征 结构特征 结构特征

更多相关视频

Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays07:42

Assessment of Resistance to Tyrosine Kinase Inhibitors by an Interrogation of Signal Transduction Pathways by Antibody Arrays

Published on: September 19, 2018

8.3K
Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA10:21

Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA

Published on: February 23, 2024

3.6K

相关概念视频

Structure-Activity Relationships and Drug Design01:28

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
1.6K