Results 191 to 200 of about 418,398 (323)

Cold Quad‐Modal Nanocomplex for Precise and Quantitative In Vivo Stem Cell Tracking

Advanced Functional Materials, EarlyView.
Multimodal albumin–bismuth sulfide–superparamagnetic iron oxide (ABS) nanocomplexes are developed for stem cell tracking across four different imaging modalities: MRI, MPI, MSOT, and CT. Combining its flexibility with high sensitivity, this quad‐modal imaging agent enables a robust quantification of ABS‐labeled stem cells in vivo.
Ali Shakeri‐Zadeh, Chao Wang, Shreyas Kuddannaya, Saleem Yousf, Jeff W. M. Bulte   +4 more
wiley   +1 more source

Post-processing enhances protein secondary structure prediction with second order deep learning and embeddings. [PDF]

Comput Struct Biotechnol J
Chatzimiltis S, Agathocleous M, Promponas VJ, Christodoulou C.   +3 more
europepmc   +1 more source

A Meta-heuristic Framework for Secondary Protein Structure Prediction using BAT-FLANN Optimization Algorithm

, 2015
Kailash Shaw, Debahuti Mishra
openalex   +2 more sources

Prediction of super-secondary structure in α-helical and β-barrel transmembrane proteins [PDF]

, 2009
Van Du T. Tran, Philippe Chassignet, Jean‐Marc Steyaert   +2 more
openalex   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Porter 6: Protein Secondary Structure Prediction by Leveraging Pre-Trained Language Models (PLMs). [PDF]

Int J Mol Sci
Alanazi W, Meng D, Pollastri G.
europepmc   +1 more source

Protein Secondary Structure Prediction Based on Deep Learning

, 2017
Lin Zheng, Hongling Li, Nan Wu, Ao Li
openalex   +2 more sources

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

MHTAPred-SS: A Highly Targeted Autoencoder-Driven Deep Multi-Task Learning Framework for Accurate Protein Secondary Structure Prediction. [PDF]

Int J Mol Sci
Feng R, Wang X, Xia Z, Han T, Wang H, Yu W.   +5 more
europepmc   +1 more source

Bioinspired Polypeptide Dendrimer‐Modified Thin‐Film Composite Membranes for Selective Lithium‐Magnesium Separation with DFT Insights

Advanced Functional Materials, EarlyView.
We fabricated a biomimetic dendrimer‐modified thin‐film nanocomposite membrane with a coordination‐assisted ion‐selective interface. pH‐responsive polypeptide sites preferentially bind Mg2+ and promote Li+ permeation, as predicted by density functional theory calculations of metal‐ligand interactions.
Mehrasa Yassari, Seyedeh Fatemeh Seyedpour, Bamlak Setegne, Amir Aghaei, Behzad Ahvazi, Mostafa Dadashi Firouzjaei, Mark Elliott, Mohtada Sadrzadeh   +7 more
wiley   +1 more source