Results 161 to 170 of about 10,350,910 (281)

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

Advanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo, Qianqian Zhang, Chenhao Wang, Zhiheng Yi, Alex Jinpeng Wang, Jing Tang, Min Li   +6 more
wiley   +1 more source

LLM-Augmented Multi-Agent Reinforcement Learning for Cross-Scenario Knowledge Transfer. [PDF]

Entropy (Basel)
Li C, Liu Y, Wang J, Wang Z, Lu K, Wang C.   +5 more
europepmc   +1 more source

Multi-agent reinforcement learning: an approach based on agents' cooperation for a common goal

, 2004
This paper is devoted to the problem of reinforcement learning in multi-agent systems. Multi-agent systems form a particular type of distributed artificial intelligence system. This paper presents an approach based on agents' cooperation for a common
Yu HB(于海斌), Wang GQ(王国权)
core  

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer‐Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy

Advanced Science, EarlyView.
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo, Yang Zhao, Xianle Rong, Xingyu Chen, Xiao Wang, Tianyi Liu, Yunfei Xie, Yushu Zou, Pingsen Zhao, Qiang Liu, Fuping You   +10 more
wiley   +1 more source

Telemetry-Robust Safe Zero-Shot Graph Multi-Agent Reinforcement Learning for Active Voltage Control Across Distribution Feeders. [PDF]

Sensors (Basel)
Jin B, Sun S, Zhang Y, Zheng S, Yu H.
europepmc   +1 more source

Supramolecular Degraders: An Emerging Paradigm in Targeted Protein Degradation

Advanced Science, EarlyView.
Dynamic supramolecular assembly reshapes targeted protein degradation by coordinating modular degrader construction, delivery, functional integration, and intracellular assembly or activation across proteasomal, endosomal–lysosomal, and autophagy–lysosomal pathways.
Kongjun Liu, Xue Yuan, Yan Zhou, Rui Yuan, Shaocheng Xie, Yong Chen, Peiyi Wang, Jianmei Gao, Qihai Gong   +8 more
wiley   +1 more source

Multi-Agent Reinforcement Learning [PDF]

, 2001
  +4 more sources

Energy-efficient wireless network control via spatio-temporal deep learning and multi-agent reinforcement learning. [PDF]

Sci Rep
Abdelnaby KM, Al-Husainy MAF, Alhawarat MO, Rohaim MA, Assar KM.   +4 more
europepmc   +1 more source

In Vivo Direct Reprogramming: Current Progress and Future Prospects from Mechanisms to Therapeutic Application

Advanced Science, EarlyView.
This review examines the potential of in vivo direct reprogramming in regenerative medicine for functional tissue restoration, highlighting the role of tissue‐resident cues in generating functionally mature reprogrammed cells from lineage‐related cells. It contains a discussion on mechanisms, reprogramming factors, delivery approaches, and applications
Rishabh Deo Singh, Mauro Calvoli, Kyeong Kyu Kim   +2 more
wiley   +1 more source

SafeCodeRL: Security-Constrained Multi-Agent Reinforcement Learning for Trustworthy LLM-Generated IoT/CPS Software. [PDF]

Sensors (Basel)
Wang Z, Chen J, Wei Z, Lin L, Tong G.
europepmc   +1 more source