QSAR analysis of VEGFR-2 inhibitors based on machine learning, Topomer CoMFA and molecule docking
Abstract VEGFR-2 kinase inhibitors are clinically approved drugs that can effectively target cancer angiogenesis. However, such inhibitors have adverse effects such as skin toxicity, gastrointestinal reactions and hepatic impairment. In this study, machine learning and Topomer CoMFA, which is an ali...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-03-01
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| Series: | BMC Chemistry |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13065-024-01165-8 |