Five specialists select new research papers. Rowan separately reports important news across the field. Each topic can include up to five significant papers per day, and the news digest up to five significant stories.
We publish when there is something worth reading. Dates show when each update was prepared. Our weekly editions bring the deeper reporting and analysis.
How do INCB127443, DF142, an allosteric SHP2 scaffold, spirocyclic FAPI tracers and a BET series connect chemical substitutions to target engagement and biological performance?
How do new molecular-discovery studies test small structural changes, generated interfaces and structural prediction errors?
Five studies examine pharmacological predictions against external data, animal experiments and alternative models.
Which new computational tools connect synthesis decisions to checked routes, measured chemistry and analytical performance?
Which new material-design and simulation methods connect learning with physical observables?
Which modelling studies offer useful selectivity and lead-design hypotheses, and what do they establish?
How do new molecular methods connect predictions to experiments and expose hidden evaluation assumptions?
Two studies connect AI-assisted pharmacological hypotheses to experimental or external-data checks.
Which new benchmarks and data workflows make computational chemistry more useful for experimental decisions?
Which new materials studies establish useful structure, stability and model-validation evidence?
Which measured optimisation results and comparative checks improve medicinal-chemistry decisions?
Which new molecular tools improve usable evidence, and where do benchmark definitions constrain their claims?
Four papers on validation, safety signals, functional drug effects and antimicrobial predictions.
What do new experiments and comparative tests establish about automated chemistry and biosynthetic prediction?
Five studies examine catalyst structures, efficient derivatives, physically checked models and evidence-linked diffraction records.
Random molecular changes put potency gains and AI ADMET predictions in experimental context.
New evidence on molecular representations, data-efficient learning, geometric reasoning, experimental feedback and screening choices.
Three studies examine transcriptional responses, organ distribution and multiscale immune hypotheses.
What can new agent workflows, adaptable laboratory robots and learned analytical corrections contribute to chemistry experiments?
Can coupled generation and prediction enrich molecules with the excited-state energetics sought for singlet-fission materials?
A computational CDK2 study tests prioritisation by selectivity as well as potency.
Can diffusion generation coupled to quantum evaluation populate sparse electronic-property regions for flexible molecules?
A receptor-state model improves one GPCR benchmark while showing limited transfer to distant receptors.
How can automated reaction-network discovery connect likely photoresist pathways with the locations and times at which products form?
Five selected papers on simulation reliability, scientific agents and phase behaviour; four are unreviewed preprints.
Inductive Bio launches an assistant for assay checks and medicinal-chemistry analysis; its reported benchmark remains company-run.
Four newly posted papers and one consortium announcement examine molecular generation, prediction and the limits of benchmark success.
Three papers on small-data reaction predictions, recorded dispensing and AI-accessible thin-film measurements; two are unreviewed preprints.