Interpretable Deep-Learning pKa Prediction for Small Molecule Drugs via Atomic Sensitivity Analysis #machinelearning #compchem

Long placebo!

no one: guys getting paid 3x your salary:

Finally, RADICAL CROSS COUPLING without the exogenous REDOX. We disclose in @ChemRxiv ( a broadly general platform for achieving transformations that normally required excess metallic or chemical reducing agents or photochemical setups (and their requisite catalysts) or potentiostats for electrochemistry. Now, such transformations can be accomplished with the same ease that one conducts a Suzuki coupling. You can scale up (its homogeneous) or scale down (use cheap parallel screening plates). Moisture is tolerated and base metal catalysis is used. As the best engineers like to say, "The best part is no part". Now, chemists have the option to remove the redox part from radical couplings. Quick Summary: Sulfonyl hydrazides are disclosed as versatile radical precursors as exemplified with seven new C–C bond forming, redox-neutral cross-couplings with: (1) activated olefins, (2) alkyl halides, (3) redox active esters, (4) aryl halides, (5) alkenyl halides, (6) alkynyl halides, and (7) a trifluoromethylating reagent to forge C(sp3)-C(sp3), C(sp3)-C(sp2), and C(sp3)-C(sp) bonds. Sulfonyl hydrazides are stable and usually crystalline substances that can be accessed in a variety of ways including transiently from hydrazones to achieve a net reductive arylation of carbonyl compounds. Exogenous redox (chemical, photo/electrochemical) additives are not necessary as these functional groups serve the dual role of radical precursor and electron donor. The operational simplicity (homogeneous, water tolerant, dump-and-stir) and practicality of the method are demonstrated as well as applications to streamlining synthesis and mild late-stage functionalization.

BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Chemistry with one half to David Baker “for computational protein design” and the other half jointly to Demis Hassabis and John M. Jumper “for protein structure prediction.”