Accurate extraction of molecular representations is a critical step in the drug discovery process. In recent years, significant progress has been made in molecular representation learning methods, ...

SAN FRANCISCO, June 20, 2025 (GLOBE NEWSWIRE) -- Structure Therapeutics Inc. (NASDAQ: GPCR), a clinical-stage global biopharmaceutical company developing novel oral small molecule therapeutics for ...

The surprise discovery of a huge cloud of molecular gas — the stuff that forms stars — just 300 light-years away is opening up new ways to study the conditions that enable star birth.

This work contributes to the growing repertoire of 1-phenylethanamine-based molecular salts, offering insights into structure-property relationships and paving the way for future exploration of their ...

Neo-1 is the first model to unify de novo molecular generation and atomic-level structure prediction in a single model, by generating latent representations of whole molecules instead of ...

Download this Nitric Acid Molecular Structure With Chemical Formula Hno3 vector illustration now. And search more of iStock's library of royalty-free vector art that features Abstract graphics ...

Download this Nitric Acid Hno3 Molecule Model And Chemical Structure vector illustration now. And search more of iStock's library of royalty-free vector art that features Acid graphics available for ...

Chemists created three different-size cyclodextrins using ʟ⁠-⁠glucose, whose molecular geometry is the mirror image of that of naturally occurring ᴅ⁠-⁠glucose (Nat. Synth. 2024, DOI: 10 ...

A method of assigning formal charges from counting “attachments” for visual inspection is introduced as part of the iterative portion of constructing Lewis electron dot structures. An “attachment” is ...

Another is to map a protein’s 3D structure and—with a dose of physics—predict how it can grab onto other molecules. While AlphaFold 2 mostly used an evolutionary approach—training the AI on what we ...

Explore how lone pairs influence molecular shapes through VSEPR theory and their analogy to business data structures.

Learn to predict molecular shapes using VSEPR theory for better chemical engineering outcomes. Understand electron pair repulsion and its impact on molecular geometry.