Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. Potentially, the models will assist the medical sciences in overcoming present ...

Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. The models ...

A new set of artificial intelligence models could make protein sequencing even more powerful for better understanding cell biology and diseases.

the full spectrum of PCSK1-generated peptides remains largely unexplored. This study aimed to address that gap by developing a computational approach, Peptide Predictor, to systematically identify ...

In this paper, we propose Mean-Field Aided QMIX (MF-QMIX), a novel algorithm that addresses these challenges by incorporating mean-field theory into the QMIX framework. MF-QMIX significantly reduces ...

Peptide-drug conjugates ... RFdiffusion#binder-design), which utilizes hotspot residues on the target receptor as conditional inputs for the generation of peptide scaffolds (Watson et al., 2023). (3) ...

Department of Power Engineering, North China Electric Power University, Baoding, Hebei 071003, China Hebei Key Laboratory of Low Carbon and High-Efficiency Power Generation Technology, North China ...

Given the vast sequence space, a combination of computational approaches and readily accessible experimental techniques is required to design peptide materials efficiently. We report here on a ...

This paper introduces the Edge-assisted Multi-task Visual Perception (EMVP) system, which is specifically designed to address the computational intensity and dynamic concurrency challenges inherent to ...

Knowledge of atomic-level structures of ligand-protein complexes is key for basic research and structure-based drug design ... macromolecules, peptides, small molecules, membranes, and their ...