Cargando…
MolFinder: an evolutionary algorithm for the global optimization of molecular properties and the extensive exploration of chemical space using SMILES
Here, we introduce a new molecule optimization method, MolFinder, based on an efficient global optimization algorithm, the conformational space annealing algorithm, and the SMILES representation. MolFinder finds diverse molecules with desired properties efficiently without any training and a large m...
Autores principales: | Kwon, Yongbeom, Lee, Juyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977239/ https://www.ncbi.nlm.nih.gov/pubmed/33736687 http://dx.doi.org/10.1186/s13321-021-00501-7 |
Ejemplares similares
-
Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization
por: Ucak, Umit V., et al.
Publicado: (2023) -
Correction: Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization
por: Ucak, Umit V., et al.
Publicado: (2023) -
mol2chemfig, a tool for rendering chemical structures from molfile or SMILES format to LATE X code
por: Brefo-Mensah, Eric K, et al.
Publicado: (2012) -
Img2Mol – accurate SMILES recognition from molecular graphical depictions
por: Clevert, Djork-Arné, et al.
Publicado: (2021) -
Secondary Vertex Finder Algorithm
por: Heer, Sebastian
Publicado: (2017)