Chemical structure segmentation constitutes a pivotal task in cheminformatics, involving the extraction and abstraction of structural information of chemical compounds from text-based sources, including patents and scientific articles. This study introduces a deep learning approach to chemical struc …

Introduction Every single time I design a protein — using ML or otherwise — I am confident that it is capable of being manufactured. I simply reach o…

Read research published in the Journal of Chemical Information and Modeling Vol. 64 Issue 7 on ACS Publications, a trusted source for peer-reviewed journals.

archived 20 Jul 2023 11:03:54 UTC

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process. - GT4SD/gt4sd-core: GT4SD, an open-source library to accelerate hypothesis generation in the s...

University of Basel/ Fall Semester 2022/ Fridays 12:15-14:00 @ Spiegelgasse 5, 05.002

Generative Tensorial Reinforcement Learning (GENTRL) model - insilicomedicine/GENTRL: Generative Tensorial Reinforcement Learning (GENTRL) model

While it's great that we're now seeing papers describing the experimental validation of generative algorithms for molecular design, we need ...

Here’s a roundup of some of the papers I found interesting in 2022. This list is heavily slanted to my interests, which lean toward the appl...

Contribute to bayer-science-for-a-better-life/Img2Mol development by creating an account on GitHub.