Results 181 to 190 of about 18,936 (261)
Mechanism‐Informed Machine Learning Enables Discovery of Oncolytic Peptides for Cancer Immunotherapy
MISPOP integrates ensemble learning with membrane‐active physicochemical priors to identify Dermaseptin‐S9, a natural oncolytic peptide that disrupts tumor membranes, triggers immunogenic cell death, and shows strong antitumor activity. The study illustrates a mechanism‐informed route from peptide sequence data to cancer immunotherapy leads.
Wen Zhang +11 more
wiley +1 more source
A Plug‐and‐Play Platform for Customizing Multivalent Degraders and Degrader‐Drug Conjugates
Membrane proteins remain challenging targets for conventional TPD approaches. Here, the authors develop UPTAB, a modular platform leveraging ultrahigh‐affinity orthogonal Im/CL protein pairs for lysosomal degradation of membrane proteins. Mono‐targeted (Type‐I), dual‐targeted (Type‐II), and tri‐targeted (Type‐III) UPTABs enable simultaneous degradation
Mengqing Zhao +7 more
wiley +1 more source
ZDHHC17 palmitoylates CDK4, which together with TRAF6‐mediated ubiquitination, drives cell cycle progression and immune surveillance, revealing a rational combination of CDK4 inhibitors with immune checkpoint blockers for ZDHHC17‐driven cancers. ABSTRACT Uncontrolled cell cycle progression is a hallmark of cancer, tightly regulated by both intrinsic ...
Zekang Wang +7 more
wiley +1 more source
Ciclopirox Olamine Inhibits the NLRP3 Inflammasome to Alleviate Inflammatory Diseases
There is no drug targeting the NLRP3 inflammasome that has been approved for use in clinical settings. Ciclopirox olamine (CPX), an antifungal agent approved by the US Food and Drug Administration (FDA), is identified as a specific and potent NLRP3 inflammasome inhibitor. CPX targets the NACHT domain of NLRP3 at Y381 to impair NLRP3 oligomerization and
Xinyu Xia +7 more
wiley +1 more source
Reprogramming the Immune Landscape of Inflammatory Breast Cancer
Inflammatory breast cancer is the most lethal subtype of breast cancer and is characterized by an immunosuppressive tumor microenvironment (TME) driven by a complex network of immune cells and inflammatory cytokines, contributing to its aggressiveness and treatment challenges. Immune checkpoint inhibitors, either alone or in combination, show potential
Verena Martinez‐Rodriguez +3 more
wiley +1 more source
SIRT6‐mediated ATF3 acetylation drives MGARP transcription and mitochondrial dysfunction in macrophages, promoting macrophage senescence and pulmonary fibrosis. Mechanistically, HSP70/Importin α competitively binds to ATF3, modulating its nuclear translocation.
Demin Cheng +18 more
wiley +1 more source
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
Nucleic Acid Therapeutics for “Undruggable” Cancer Targets: Mechanisms, Challenges, and Prospects
Nucleic acid therapeutics bypass the structural limitations of conventional drugs by targeting mRNA rather than proteins. This review examines how antisense oligonucleotides, siRNAs, miRNAs, aptamers, and mRNA vaccines intervene against historically undruggable oncoproteins including Ras, MYC, and p53, highlighting mechanistic advances, delivery ...
Feng Xu +6 more
wiley +1 more source
A sprayable near‐infrared‐activated nanoplatform incorporating MXene, ZnHCF nanozyme, and deferoxamine efficiently breaks the vicious cycle of diabetic wounds. Upon irradiation, interfacial electron transfer and photothermal effects enhance multi‐enzyme activity, enabling explosive ROS elimination, alleviation of hypoxia, and controlled DFO release ...
Jiahao Guo +5 more
wiley +1 more source
Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective
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 +4 more
wiley +1 more source

