Results 161 to 170 of about 935,022 (285)

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Drug and Anti-Viral Peptide Design to Inhibit the Monkeypox Virus by Restricting A36R Protein. [PDF]

Bioinform Biol Insights, 2022
Miah MM, Tabassum N, Afroj Zinnia M, Islam ABMMK.   +3 more
europepmc   +1 more source

Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore

Advanced Functional Materials, EarlyView.
To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul, Archith Rayabharam, Lisa Almonte, Eveline Rigo, Joshy Joseph, Ashutosh Kumar, Zhuxin Dong, Narayana Aluru, Gregory Timp   +8 more
wiley   +1 more source

Tailored structured peptide design with a key-cutting machine approach. [PDF]

Nat Mach Intell
Leyva YC, Torres MDT, Oliva CA, de la Fuente-Nunez C, Brizuela CA.   +4 more
europepmc   +1 more source

Funneling modulatory peptide design with generative models: Discovery and characterization of disruptors of calcineurin protein-protein interactions. [PDF]

PLoS Comput Biol, 2023
Tubiana J, Adriana-Lifshits L, Nissan M, Gabay M, Sher I, Sova M, Wolfson HJ, Gal M.   +7 more
europepmc   +1 more source

A Smart Bio‐Battery Facilitates Diabetic Bone Defect Repair Via Inducing Macrophage Reprogramming and Synergistically Modulating Bone Remodeling Coupling

Advanced Functional Materials, EarlyView.
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv, Haifu Sun, Wenxiang Tang, Yonggang Li, Zhonglai Qian, Lihui Hong, Chong Chen, Hongye Li, Jiaxiang Bai, Yusen Qiao, Mingming Liu   +10 more
wiley   +1 more source

State-Specific Peptide Design Targeting G Protein-Coupled Receptors. [PDF]

J Chem Inf Model
Xue Y, Wang H, Li J, Hu J, Chen Z, Zheng Z, Liu L, Zhu K, He J, Gong H, Li X, Zhang X, Fang X.   +12 more
europepmc   +1 more source

Rational peptide design for regulating liquid-liquid phase separation on the basis of residue-residue contact energy. [PDF]

Sci Rep, 2022
Kamagata K, Ariefai M, Takahashi H, Hando A, Subekti DRG, Ikeda K, Hirano A, Kameda T.   +7 more
europepmc   +1 more source

Multifunctional Microstructured Surfaces by Microcontact Printing of Reactive Microgels

Advanced Functional Materials, EarlyView.
Reactive poly(N‐vinylcaprolactam‐co‐glycidyl methacrylate) microgels are used as functional inks to create surface‐grafted arrays on glass via microcontact printing. The patterns (10–50 µm widths and spacings) enable stable binding and post‐functionalization with dyes and peptides.
Inga Litzen, Alexander Töpel, Martin Zenke, Antonio Sechi, Andrij Pich   +4 more
wiley   +1 more source

MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer. [PDF]

Brief Bioinform
Wang L, Fu X, Yang J, Zhang X, Ye X, Sakurai T, Zeng X, Liu Y.   +7 more
europepmc   +1 more source