The intrinsically disordered proteins (IDPs) do not attain a stable secondary or tertiary structure and rapidly change their conformation, making structure prediction particularly challenging.

In a study of nearly 600 people - some healthy, others with infections including COVID-19 or autoimmune diseases including lupus and Type 1 diabetes - the algorithm the researchers developed ...

Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters ... because many of the data structures we rely upon today store ...

He is not Jordan’s replacement. Rather, his role is to review how United’s data department could be improved and where it will sit in the sporting structure, which is still in flux following ...

In this paper, a data-driven evolutionary algorithm based on inductive graph neural networks (DEA-IGNN) is proposed to solve MMOPs, which successfully learns the PSs topology by the graph structure to ...

MSU Institute for Artificial Intelligence, Lomonosov Moscow State University, Moscow 119192, Russia Department of Chemistry, Lomonosov Moscow State University, Moscow 119991, Russia ...

📚A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.👨‍💻🎯 ...

This repository contains my solutions to various problems from Codeforces contests, aimed at improving problem-solving skills in competitive programming. Each submission is stored with detailed ...

which are the most commonly used images to investigate brain structure, and the ones typically affected by the INU. We generate simulated MR images with INU fields at different magnitudes and with ...