In pursuit of the exceptional: Research directions for machine learning in chemical and materials science
Exceptional molecules and materials with one or more extraordinary properties are both
technologically valuable and fundamentally interesting, because they often involve new …
technologically valuable and fundamentally interesting, because they often involve new …
Artificial Intelligence for Surface‐Enhanced Raman Spectroscopy
Surface‐enhanced Raman spectroscopy (SERS), well acknowledged as a fingerprinting
and sensitive analytical technique, has exerted high applicational value in a broad range of …
and sensitive analytical technique, has exerted high applicational value in a broad range of …
[HTML][HTML] Reinvent 4: Modern AI–driven generative molecule design
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 …
molecules. The software utilizes recurrent neural networks and transformer architectures to …
Retrobridge: Modeling retrosynthesis with markov bridges
Retrosynthesis planning is a fundamental challenge in chemistry which aims at designing
reaction pathways from commercially available starting materials to a target molecule. Each …
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 …
key scientific pursuit. However, factors such as the vastness and discreteness of the …
Retro-fallback: retrosynthetic planning in an uncertain world
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 …
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 …
known three-dimensional structure, relying on the simple knowledge of physicochemical …
FSscore: A Machine Learning-based Synthetic Feasibility Score Leveraging Human Expertise
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 …
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 …
more potent drugs compared to conventional drug-discovery methods. The success of …
Target-aware Molecule Generation for Drug Design Using a Chemical Language Model*
Generative drug design facilitates the creation of compounds effective against specific
pathogenic target proteins. This opens up the potential to discover novel compounds within …
pathogenic target proteins. This opens up the potential to discover novel compounds within …