Aptamers are single-stranded nucleic acids that bind and recognize targets much like
antibodies. Recently, aptamers have garnered increased interest due to their unique …

Recent breakthroughs in AI coupled with the rapid accumulation of protein sequence and
structure data have radically transformed computational protein design. New methods …

We consider the problem of predicting a protein sequence from its backbone atom
coordinates. Machine learning approaches to this problem to date have been limited by the …

The design of proteins that bind to a specific site on the surface of a target protein using no
information other than the three-dimensional structure of the target remains a challenge …

The detection of samples at ultralow concentrations (one to ten copies in 100 μl) in biofluids
is hampered by the orders-of-magnitude higher amounts of 'background'biomolecules. Here …

New variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to
arise and prolong the coronavirus disease 2019 (COVID-19) pandemic. Here, we used a …

Many peptide hormones form an α-helix on binding their receptors,,–, and sensitive methods
for their detection could contribute to better clinical management of disease. De novo protein …

Optical sensors, with great potential to convert invisible bioanalytical response into readable
information, have been envisioned as a powerful platform for biological analysis and early …

The fast spread of SARS-CoV-2 has severely threatened the public health. Establishing a
sensitive method for SARS-CoV-2 detection is of great significance to contain the worldwide …

Protein denoising diffusion probabilistic models are used for the de novo generation of
protein backbones but are limited in their ability to guide generation of proteins with …