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 ...

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 ...

Learn Excel’s Sequence function to generate numbers, dates, and custom formats effortlessly. Work smarter and faster with this guide ...

Astar Network and Sequence team up to launch Astar Studio, a specialized platform for blockchain developers with a $200K USD grant program.

A graph-structured nonlinear program (NLP) is a nonlinear optimization problem whose algebraic structure is induced by a graph. These problems arise in diverse applications such as dynamic ...

We found that networks of such neurons can solve highly complex sequence detection tasks by breaking down long inputs into sequences of shorter, random features that can be classified reliably. These ...