Science Daily23h
New AI models possible game-changers within protein science and healthcare
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 ...
New AI models enhance protein data analysis for medical research
Researchers have developed new AI models that can vastly improve accuracy and discovery within protein science. The models ...
Science News1d
AI is helping scientists decode previously inscrutable proteins
A new set of artificial intelligence models could make protein sequencing even more powerful for better understanding cell biology and diseases.
IEEE19d
Event-Driven Transformer-Based Reinforcement Learning for Trajectory Design and Channel Assignment in Multi-UAV Assisted Communication
Abstract: In the assisted communication system with multiple unmanned aerial vehicle base stations (UAV BSs), it is a challenge to achieve optimized trajectory design and channel assignment in unknown ...
IEEE24d
Mean-Field Aided QMIX: A Scalable and Flexible Q-Learning Approach for Large-Scale Agent Groups
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 ...
Frontiers26d
Trends in the research and development of peptide drug conjugates: artificial intelligence aided design
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) ...
C&EN26d
Protein–Peptide Docking with ESMFold Language Model
The combination of result quality and computational efficiency underscores ESMFold’s potential value as a component in a consensus approach for high-throughput peptide design. Article subjects are ...