Results 221 to 230 of about 410,461 (311)
Single-sequence protein structure prediction using a language model and deep learning. [PDF]
Chowdhury R +11 more
europepmc +1 more source
Objective To investigate the association between rheumatoid arthritis (RA) and coronary artery calcium (CAC) prevalence, incidence, and progression over four years in adults without prior cardiovascular disease. Methods A case‐cohort study within the Brazilian Longitudinal Study of Adult Health (ELSA‐Brasil) included 585 participants (86 patients with ...
Patrícia Fonseca Estrada +7 more
wiley +1 more source
LightRoseTTA: High-Efficient and Accurate Protein Structure Prediction Using a Light-Weight Deep Graph Model. [PDF]
Wang X +7 more
europepmc +1 more source
Proteins with alternative folds reveal blind spots in AlphaFold-based protein structure prediction. [PDF]
Chakravarty D, Lee M, Porter LL.
europepmc +1 more source
Objective JAK inhibitors (JAKis) have shown promising effects in early‐phase studies of SSc. We aimed to assess the safety and explore effectiveness of JAKis compared to conventional immunosuppressants in SSc. Methods A longitudinal retrospective study of the EUSTAR cohort was performed.
Stefano Di Donato +27 more
wiley +1 more source
AlphaFold in protein structure and function prediction
Lukasz Kurgan, Jianyi Yang
doaj +1 more source
AI-Driven Deep Learning Techniques in Protein Structure Prediction. [PDF]
Chen L +9 more
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
A Perspective on Protein Structure Prediction Using Quantum Computers. [PDF]
Doga H +7 more
europepmc +1 more source
This work shows that the mechanical performance of multimaterial digital light processing (DLP) printed thermoset composites is governed by resin compatibility and interfacial design rather than spatial patterning alone. Brittle and ductile resin combinations produced premature interfacial failure, while graded interfaces and mechanically compatible ...
Ahmed M. H. Ibrahim +3 more
wiley +1 more source

