Food scientists are paving the way for 3D-printed food and pharmaceuticals based on drought-tolerant grain sorghum protein ...

For the first of these tasks Dr Baker and his colleagues use RF diffusion, an AI model they have developed to predict a ...

Proteins are the infinitely varied chemicals that make cells work, and science has a pretty good idea how they are made. But ...

Abstract Improving the accuracy of protein secondary structure prediction has been an important task in bioinformatics since it is not only the starting point in obtaining tertiary structure in ...

Given the amino-acid sequence or 3D structure of a protein, how much can we predict about its function using just a desktop computer? The recent explosive growth in the volume of sequence data and ...

A general phenomenological kinetic model of irreversible protein aggregation in aqueous solution proceeding via non-native conformations is examined with a view toward the development of techniques to ...

Over 95% of the U.S. general population has quantifiable serum levels of PFAS, with a mean of 2 to 5 parts per billion (ppb) for perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), ...

In the UK Biobank cohort, we derived and validated a machine learning model to predict incident AF risk using serum proteins (Pro-AF). We compared Pro-AF to a validated clinical risk score (Cohorts ...

The effect of temperature on the structure of the rat odorant-binding protein was investigated by spectroscopic and in silico methodologies. In particular, in this work, we examined the structural ...

Prospr is a universal toolbox for protein structure prediction within the HP-model. The Python package is based on a C++ core, which gives Prospr its high performance. The C++ core is made available ...

A protein molecule is made of a long chain of amino acid sequences that fold into a complex three-dimensional structure. It is often the geometrical shapes that determine the protein functions. In ...