In pursuit of the exceptional: Research directions for machine learning in chemical and materials science

J Schrier, AJ Norquist, T Buonassisi… - Journal of the American …, 2023 - ACS Publications
Exceptional molecules and materials with one or more extraordinary properties are both
technologically valuable and fundamentally interesting, because they often involve new …

Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy

X Bi, L Lin, Z Chen, J Ye - Small methods, 2024 - Wiley Online Library
Surface‐enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting
and sensitive analytical technique, has exerted high applicational value in a broad range of …

[HTML][HTML] Reinvent 4: Modern AI–driven generative molecule design

HH Loeffler, J He, A Tibo, JP Janet, A Voronov… - Journal of …, 2024 - Springer
REINVENT 4 is a modern open-source generative AI framework for the design of small
molecules. The software utilizes recurrent neural networks and transformer architectures to …

Retrobridge: Modeling retrosynthesis with markov bridges

I Igashov, A Schneuing, M Segler, M Bronstein… - arXiv preprint arXiv …, 2023 - arxiv.org
Retrosynthesis planning is a fundamental challenge in chemistry which aims at designing
reaction pathways from commercially available starting materials to a target molecule. Each …

[HTML][HTML] Generative AI for graph-based drug design: Recent advances and the way forward

V Garg - Current Opinion in Structural Biology, 2024 - Elsevier
Discovering new promising molecule candidates that could translate into effective drugs is a
key scientific pursuit. However, factors such as the vastness and discreteness of the …

Retro-fallback: retrosynthetic planning in an uncertain world

A Tripp, K Maziarz, S Lewis, M Segler… - arXiv preprint arXiv …, 2023 - arxiv.org
Retrosynthesis is the task of proposing a series of chemical reactions to create a desired
molecule from simpler, buyable molecules. While previous works have proposed algorithms …

Subpocket Similarity-Based Hit Identification for Challenging Targets: Application to the WDR Domain of LRRK2

M Eguida, G Bret, F Sindt, F Li, I Chau… - Journal of Chemical …, 2024 - ACS Publications
We herewith applied a priori a generic hit identification method (POEM) for difficult targets of
known three-dimensional structure, relying on the simple knowledge of physicochemical …

FSscore: A Machine Learning-based Synthetic Feasibility Score Leveraging Human Expertise

RM Neeser, B Correia, P Schwaller - arXiv preprint arXiv:2312.12737, 2023 - arxiv.org
Determining whether a molecule can be synthesized is crucial for many aspects of chemistry
and drug discovery, allowing prioritization of experimental work and ranking molecules in de …

[HTML][HTML] Cryo-electron microscopy-based drug design

E Cebi, J Lee, VK Subramani, N Bak, C Oh… - Frontiers in Molecular …, 2024 - frontiersin.org
Structure-based drug design (SBDD) has gained popularity owing to its ability to develop
more potent drugs compared to conventional drug-discovery methods. The success of …

Target-aware Molecule Generation for Drug Design Using a Chemical Language Model*

Y Xia, K Wu, P Deng, R Liu, Y Zhang, H Guo, Y Cui… - bioRxiv, 2024 - biorxiv.org
Generative drug design facilitates the creation of compounds effective against specific
pathogenic target proteins. This opens up the potential to discover novel compounds within …