Results 161 to 170 of about 401,503 (258)

3DProtDTA: a deep learning model for drug-target affinity prediction based on residue-level protein graphs. [PDF]

RSC Adv, 2023
Voitsitskyi T, Stratiichuk R, Koleiev I, Popryho L, Ostrovsky Z, Henitsoi P, Khropachov I, Vozniak V, Zhytar R, Nechepurenko D, Yesylevskyy S, Nafiiev A, Starosyla S.   +12 more
europepmc   +1 more source

Enhanced Photocatalytic H2O2 Production on Terpyridine‐Based Acrylonitrile‐Linked Covalent Organic Frameworks with Asymmetric Localized Electron Distribution

Advanced Materials, EarlyView.
Asymmetric localized electron distribution has been optimized in covalent organic frameworks to enhance *O2 adsorption and facilitate charge transfer, boosting photocatalytic two‐electron transfer oxygen reduction toward H2O2 production from water and air.
Qinglan Zhao, Mengmeng Ce, Hengtao Lei, Tianyun Jin, Zhipeng Xie, Yushen Liu, Shengyi Yang, Xinwen Ou, Mohammad Farhadpour, Song‐Zhu Kure‐Chu, Xuan‐He Liu, Liang Zhang, Jimmy C. Yu   +12 more
wiley   +1 more source

Cell Adhesion by Design: Engineering Tissue Culture Scaffolds With Adhesion Cues

Advanced Materials Interfaces, EarlyView.
ABSTRACT In scaffold‐based tissue engineering, the matrix should provide adequate adhesion cues for cell attachment, spreading, and function. Given the multitude of adhesion receptors and the diversity of scaffolds, there are many approaches to render scaffolds adhesive, even though they are not all equivalent.
Dalia Dranseike, Dhananjay V. Deshmukh, Mark W. Tibbitt, Céline Labouesse   +3 more
wiley   +1 more source

CS-DTA: a language model-driven framework for robust drug-target affinity prediction under strict cold-start scenarios. [PDF]

Front Chem
Jiang Z, Dai H, Chen Y, Qiao B, Sun S.
europepmc   +1 more source

Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine

Advanced Materials Interfaces, EarlyView.
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee, Mohammad Rabiee, Mohammad Akrami‐Hasan‐Kohal, Sidi A. Bencherif   +3 more
wiley   +1 more source

Cornus Mas L. Seed‐Derived Biosorbent for Methylene Blue Removal: Surface Characterization and Biosorption Performance

Advanced Materials Interfaces, EarlyView.
Cornus mas L. seeds are transformed into a high‐performance biosorbent through chemical modification, effectively removing methylene blue from aqueous solutions. Comprehensive characterization and optimization reveal a maximum biosorption capacity of 71.71 mg g−1, establishing this sustainable, cost‐effective material as a promising solution for ...
Hakan Yıldız, Adem Necip, Arslan Yusuf Yüksel   +2 more
wiley   +1 more source

MixingDTA: improved drug-target affinity prediction by extending mixup with guilt-by-association. [PDF]

Bioinformatics
Kim Y, Bang D, Koo B, Yi J, Cho C, Choi J, Kim S.   +6 more
europepmc   +1 more source

Femtosecond‐Laser Mould Texturing Enables Tunable Biointerfaces in COC Microfluidics

Advanced Materials Interfaces, EarlyView.
Femtosecond‐laser texturing of injection‐mould inserts enables scalable engineering of biointerfaces in cyclic olefin copolymer microfluidics. Replicated micro‐ and nano‐topographies modulate surface roughness and wettability, leading to texture‐dependent protein adsorption and cell adhesion without chemical post‐processing.
Irene Varela‐Leniz, Nora Larreategi, Laura Gemini, Taieb Bakouche, Florent Husson, Leire Gartzia‐Rivero, Eider Bilbao Castellanos, Ane Miren Zaldua, José Luis Vilas‐Vilela, Leire Etxeberria   +9 more
wiley   +1 more source

UAMRL: multi-granularity uncertainty-aware multimodal representation learning for drug-target affinity prediction. [PDF]

Bioinformatics
Xu W, Liu X, Wang J, Zhang F, Hu D, Zong L.   +5 more
europepmc   +1 more source

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction

Drug target binding affinity (DTA) is a key criterion for drug screening. Existing experimental methods are time-consuming and rely on limited structural and domain information.
Xie, Jiacheng, Chen, Gaofei, Wang, Tianyang, Li, Zhengji, Xu, Min, Xiao, Xi, Wang, Wentao, Zhu, Lijing   +7 more
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