Results 241 to 250 of about 45,240 (301)
An evolutionary molecular dynamics platform is used to design P1.6, a membrane‐active peptide that senses lipid packing defects in viral envelopes. P1.6 adopts a stabilized α‐helical structure upon membrane contact, disrupts virus‐like liposomes, and damages HIV‐1 particles.
Pascal von Maltitz +10 more
wiley +1 more source
Distinct effects of progesterone and cholesterol on lipid membranes: insights from biophysical experiments and molecular dynamics simulations. [PDF]
Lągowska A +5 more
europepmc +1 more source
A Closed‐Loop Hybrid Discovery System of Type I Photosensitizers for Hypoxic Tumor Therapy
The work developed a closed‐loop hybrid discovery system to rationally design and predict high‐performance Type I PSs for hypoxic tumor therapy. 664 Potential candidates are identified from a dataset through a support vector machine (SVM) classification model, and two candidates are experimentally verified as Type I PSs, which highlighted the potential
Xia Ling +9 more
wiley +1 more source
Statistical study of the orbital elements of spectroscopic binary stars.
R. P. Olowin
openalex +1 more source
AI‐Directed 3D Printing of Hierarchical Polyurethane Foams
Digitally guided direct ink writing, combined with AI‐generated design, enables the fabrication of hierarchical polyurethane foams with tunable multiscale porosity. This approach produces architected foams featuring interconnected open‐cell networks and tailored mechanical properties, advancing the development of adaptive, high‐performance materials ...
Dhanush Patil +15 more
wiley +1 more source
Multicomponent alloys, such as high‐entropy alloys (HEAs), are considered to be in a random solid solution. However, recent studies have shown that short‐range ordering (SRO) is prevalent in these HEAs due to multipairwise interactions among the constituent elements, which can be deleterious.
Moses A. Adaan‐Nyiak +8 more
wiley +1 more source
Electromagnetic follow-up of gravitational waves: review and lessons learned. [PDF]
Nicholl M, Andreoni I.
europepmc +1 more source
AI‐Driven Acceleration of Fluorescence Probe Discovery
We present PROBY, an AI model trained on large‐scale datasets to predict key photophysical properties and accelerate the discovery of target‐specific fluorescent probes. By screening a target‐annotated library, PROBY identifies candidate probes for diverse targets and could guide probe optimization, enabling a range of in vitro and in vivo imaging ...
Xuefeng Jiang +18 more
wiley +1 more source
Pressure-Driven Reactivity in Dense Methane-Nitrogen Mixtures. [PDF]
Shuttleworth HA +13 more
europepmc +1 more source

