Results 71 to 80 of about 28,587,314 (277)
Single‐cell, spatial, molecular, and pathology analyses identify a CDH3‐associated malignant epithelial state in thymic epithelial tumors. This state links stem‐like and EMT programs to M2 macrophage–rich immunosuppressive niches, genomic instability, poor survival, and drug vulnerability.
Yuntao Feng +13 more
wiley +1 more source
3D-Pharma, A Ligand-based Virtual Screening tool using 3D Pharmacophore Fingerprints [PDF]
In this work, we introduced 3D-Pharma, a new Ligand-Based Virtual Screening method that uses fingerprints of pharmacophore triplets at atomic resolutions to build very simple and predictive models. Within 3D-Pharma the molecules are described by multiple
Julio CD, LOPES +2 more
core +1 more source
Training and test datasets of the paper "Improving the versatility of deep learning-based protein-ligand interaction prediction for accurate binding affinity scoring and virtual screening"
Kim Woo Youn +3 more
core +1 more source
Condorcet and borda count fusion method for ligand-based virtual screening [PDF]
من المعروف أن أي مقياس تشابه فردي لن يعطي دائمًا أفضل استدعاء لهيكل الجزيء النشط لجميع أنواع فئات النشاط. في الآونة الأخيرة، يمكن تعزيز فعالية مناهج الفحص الافتراضي القائمة على الربيطة باستخدام دمج البيانات. يمكن تنفيذ دمج البيانات باستخدام نهجين مختلفين: دمج المجموعة ودمج التشابه. يتضمن اندماج التشابه البحث باستخدام مقاييس تشابه متعددة.
Ali Ahmed +3 more
openaire +3 more sources
Fzd7 Restrains Pink1‐Dependent Mitophagy in Suture Stem Cells to Maintain Cranial Suture Patency
How suture stem cells fail to preserve cranial suture patency remains incompletely understood. Integrated single‐cell and high‐resolution spatial transcriptomic analyses identify reduced Fzd7 expression in Prrx1+ suture stem cells as an early feature of craniosynostosis.
Xinyan Chen +10 more
wiley +1 more source
QCSPScore: a new scoring function for driving protein-ligand docking with quantitative chemical shifts perturbations [PDF]
Through the use of information about the biological target structure, the optimization of potential drugs can be improved. In this work I have developed a procedure that uses the quantitative change in the chemical perturbations (CSP) in the protein from
González Ruiz, Domingo
core
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 +10 more
wiley +1 more source
This study identifies MZF1 as a core regulator of colon cancer via SnoN‐mediated TGF‐β suppression, proposes 10Panx Acetate as a targeted inhibitor, and validates MZF1/SnoN as prognostic markers for aggressive disease. ABSTRACT Colon cancer progression is associated with transcriptional and signaling abnormalities.
Siqi Sheng +9 more
wiley +1 more source
USRCAT: real-time ultrafast shape recognition with pharmacophoric constraints
Background Ligand-based virtual screening using molecular shape is an important tool for researchers who wish to find novel chemical scaffolds in compound libraries.
Schreyer Adrian M, Blundell Tom
doaj +1 more source
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu +7 more
wiley +1 more source

