Conversion between IUPAC names and SMILES chemical structures using context free grammars.
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Updated
May 7, 2024 - Python
Conversion between IUPAC names and SMILES chemical structures using context free grammars.
This scripts tries to predict the bioactivity of 131 compounds related to Aspartate Racemase enzyme with the aid of decision trees and SVM
Natural Language Processing
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This a web app built using StreamLit that uses machine learning to predict bioactivity of molecules entered in SMILES format
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This project implements a high-performance lossless codec for SMILES strings, designed for efficient compression and decompression. It's compatible with CUDA and AMD's HIP framework
Classical cheminformatics and deep generative models
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