A predictive biophysical model that integrates protein-DNA structures and sequences to accurately determine genomic binding sites and affinities of DNA-binding proteins.

Speaking is one of the most complicated things a human can do. Before you even say a word, your brain has to translate what you want to say into a perfectly sequenced set of instructions to the dozens ...

No longer a mere assistant who carries out the commands of DNA, RNA takes the lead in emerging therapeutics.

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 ...

The television landscape has created multiple iconic figures, where some shows instantly knew how to introduce a character to ...

Peptide drugs delivered orally need to be protected from degradation for achieving their functions. To fulfill the complicated task of oral drug delivery, we present a hierarchically structured ...

Feature extraction is essential for solving image classification by transforming low-level pixel values into high-level features. However, extracting effective features from images is challenging due ...

This paper proposes a novel surrogate model for genetic programming that estimates the fitness of each individual by using the tree structure similarity. In particular, the fitness of each individual ...

Optimising sequences for high structure prediction confidence runs the risk of generating adversarial examples for AF which are unlikely to be recombinantly expressed in E. coli or adopt the designed ...

For the micelles formed by these three sequences, we employed the PULL code in GROMACS 2018.3 (59) that applies forces or constraints between the center of mass of the hydrophobic portion of the ...

Keywords: C programming, heuristic teaching method, cases, loop-structure, programming courses Citation: Zhang F, Peng Z, Wang C and Yang F (2025) Design and application of teaching cases based on ...