A virtual drug-screening approach to conquer huge chemical libraries
A computational method has been devised to identify drug-candidate molecules from a library of billions of molecules using 100 times less computational power than is used by standard methods.
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Springer Nature
2021
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| Summary: | A computational method has been devised to identify drug-candidate molecules from a library of billions of molecules using 100 times less computational power than is used by standard methods. |
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