Results 111 to 120 of about 71,218 (232)
De Novo Autogenic Engineered Living Functional Materials
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad +9 more
wiley +1 more source
Impact of Protein Representations on Drug-Target Affinity Prediction
and target proteins can significantly hasten the drug discovery and development process. Utilizing artificial intelligence (AI) models to predict drug-target affinity (DTA) is an affordable and efficient strategy for sifting out undesirable molecules and identifying promising drug candidates.
Marijan, Matija, Tanasijević, Ivan
openaire +1 more source
From Payload‐First Toward Dual‐Mechanism Antibody–Drug Conjugates
Conjugation converts potent antibodies into underexposed carriers. This perspective defines the antibody exposure deficit and maps a mechanism‐first design space from payload‐first to antibody‐first ADC architectures, integrating DAR, linker chemistry, and Fc engineering to guide rational design of constructs that balance targeted cytotoxicity with ...
Xavier Pivot +3 more
wiley +1 more source
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 +2 more
wiley +1 more source
Supramolecular aggregation governs the interfacial adsorption, diffusion, and fixation of anthraquinone‐based vat dyes in meta‐aramid fibers. By correlating reduction chemistry, aggregate formation, and fiber microstructure, a multiscale mechanism for aggregation‐controlled dyeing is established, providing an effective strategy to suppress surface dye ...
Jisiyuan Qin +8 more
wiley +1 more source
ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi +4 more
wiley +1 more source
Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring. [PDF]
Nguyen TM, Nguyen T, Tran T.
europepmc +1 more source
Turning Water Into a Tool: From Degradation Pathways to Functional Engineering in Halide Perovskites
Water exhibits a threshold‐dependent dual role in lead halide perovskites, acting either as a degradation trigger or as a powerful tool for defect passivation, recrystallization, and structural engineering. This review discusses how controlled water‐mediated interactions govern stability, dimensionality, and optoelectronic performance, providing ...
Raphaella T. S. Gonçalves +4 more
wiley +1 more source
Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le +4 more
wiley +1 more source
3DProtDTA: a deep learning model for drug-target affinity prediction based on residue-level protein graphs. [PDF]
Voitsitskyi T +12 more
europepmc +1 more source

