Results 221 to 230 of about 3,483 (284)

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

The Tolman-Ehrenfest criterion of thermal equilibrium in scalar-tensor gravity. [PDF]

Eur Phys J C Part Fields
Karolinski N, Faraoni V.
europepmc   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

Advanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou, Qihang Zhen, Zexin Lv, Xinyue Cui, Suhui Wang, Minghua Hou, Zhan Zhou, Xiaogen Zhou, Guijun Zhang   +8 more
wiley   +1 more source

Twist Fields in Many-Body Physics. [PDF]

Entropy (Basel)
Doyon B.
europepmc   +1 more source

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

Advanced Science, EarlyView.
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok, Jesús Valdés‐Hernández, Varinia Bernales, Alán Aspuru‐Guzik, Alex Zhavoronkov   +4 more
wiley   +1 more source

Conformal uncertainty quantification to evaluate predictive fairness of foundation AI model for skin lesion classes across patient demographics. [PDF]

Health Inf Sci Syst
Bhattacharyya S, Pal U, Chakraborti T.
europepmc   +1 more source

Discriminator‐Guided Inverse Folding for Multi‐Property Protein Design

Advanced Science, EarlyView.
Discriminator‐Guided Inverse Folding (DGIF) integrates multiple property predictors trained from single‐property datasets to guide protein sequence generation from a backbone structure. DGIF enables simultaneous improvement of thermostability and solubility without requiring multi‐property annotated datasets and generates designs that move toward the ...
Yuchuan Zheng, Chuyi Liu, Zhaoming Liu, Mao Su, Chenyu Tang, Xiang Zheng, Hao Zhang, Jingyuan Li   +7 more
wiley   +1 more source

The quintom theory of dark energy after DESI DR2. [PDF]

Natl Sci Rev
Cai Y, Ren X, Qiu T, Li M, Zhang X.
europepmc   +1 more source

Targeting Dnmt3a/m5C/RelA Axis Attenuates Microglia Inflammatory Response and Improves Postoperative Recovery in Chronic Compressive Cervical Spinal Cord Injury

Advanced Science, EarlyView.
A pro‐inflammatory microglial subset persists after decompression in chronic compressive cervical spinal cord injury and shows enhanced Dnmt3a‐driven m5C signaling. By stabilizing RelA mRNA, this axis sustains NF‐κB activation and postoperative neuroinflammation.
Tianyu Qin, Yuan Jiang, Yongheng Xie, Huanwei Qu, Wenbin Yan, Jingle Chen, Yining Chen, Huayi Li, Naibo Feng, Jiajun Wu, Chao Zhang, Zhengqi Huang, Ming Shi, Zhihuai Deng, Guozhi Xiao, Houqing Long   +15 more
wiley   +1 more source

Unravelling the Holomorphic Twist: Central Charges. [PDF]

Commun Math Phys
Bomans P, Wu J.
europepmc   +1 more source