Institut Pasteur

bAIes originally drew structural information only from AlphaFold2 distograms to build atomic-resolution conformational ensembles of intrinsically disordered proteins. It now accepts six predictors, AlphaFold2, AlphaFold3, Boltz-1, Boltz-2, ESMFold and ESMFold2, and was compared on NMR and SAXS data for 17 disordered proteins. Ensembles from every predictor reach average accuracy comparable to the original AlphaFold2 version, best on local observables such as chemical shifts, RDCs and 3J couplings, and weaker on long-range and global observables such as PREs and SAXS.

bAIes originally drew structural information only from AlphaFold2 distograms to build atomic-resolution conformational ensembles of intrinsically disordered proteins. It now accepts six predictors, AlphaFold2, AlphaFold3, Boltz-1, Boltz-2, ESMFold and ESMFold2, and was compared on NMR and SAXS data for 17 disordered proteins. Ensembles from every predictor reach average accuracy comparable to the original AlphaFold2 version, best on local observables such as chemical shifts, RDCs and 3J couplings, and weaker on long-range and global observables such as PREs and SAXS.

Braincodec, an encoding algorithm for auditory-cortex implants, compresses natural sound onto 256 or 512 stimulation channels at a reconstruction SI-SNR near 10, against roughly -30 for cochlear-implant encoders. Its stimulation patterns also resemble auditory-cortex responses, and implanted mice discriminated pure tones through those patterns as precisely as mice hearing real tones.

Braincodec, an encoding algorithm for auditory-cortex implants, compresses natural sound onto 256 or 512 stimulation channels at a reconstruction SI-SNR near 10, against roughly -30 for cochlear-implant encoders. Its stimulation patterns also resemble auditory-cortex responses, and implanted mice discriminated pure tones through those patterns as precisely as mice hearing real tones.