Results 131 to 140 of about 522,643 (238)

Hybrid neural network approaches to predict drug-target binding affinity for drug repurposing: screening for potential leads for Alzheimer's disease. [PDF]

Front Mol Biosci, 2023
Wu X, Li Z, Chen G, Yin Y, Chen CY.
europepmc   +1 more source

Aqueous Two‐Phase Bioinks for Discrete Packing and Compartmentalization of 3D Bioprinted Cells

Advanced Healthcare Materials, EarlyView.
Aqueous two‐phase systems (ATPS) enable the formation of biomimetic interfaces crucial for tissue engineering. However, clinical translation remains limited by the challenge of precisely controlling cellular compartmentalization. Here, we developed ATPS biomaterial inks for 3D bioprinting allowing tuneable droplet formation via NaCl modulation.
Martina Marcotulli, Arianna Iacomino, Federico Serpe, Lucia Iafrate, Marco Bastioli, Giorgia Montalbano, Michele D'Orazio, Biagio Palmisano, Silvia Franco, Arianna Mencattini, Roberta Angelini, Eugenio Martinelli, Alessandro Corsi, Mara Riminucci, Giancarlo Ruocco, Chiara Scognamiglio, Andrea Barbetta, Gianluca Cidonio   +17 more
wiley   +1 more source

CSatDTA: Prediction of Drug-Target Binding Affinity Using Convolution Model with Self-Attention. [PDF]

Int J Mol Sci, 2022
Ghimire A, Tayara H, Xuan Z, Chong KT.
europepmc   +1 more source

Simvastatin Restores Uteroplacental Hemodynamics and Trophoblast Function in Obstetric Antiphospholipid Syndrome in a Placenta‐on‐a‐Chip Model

Advanced Healthcare Materials, EarlyView.
Simvastatin mitigates placental hypoperfusion in OAPS by ameliorating abnormal uteromaternal hemodynamics and enhancing trophoblast invasion via optimized endothelial cell interactions under pathological shear stress, as evidenced by results from a placenta‐on‐a‐chip platform.
Hongli Liu, Yuan Wang, Yanjun Cai, Ruixin Guo, Shunhua Liu, Tingting Chen, Tingting Sun, Ruiheng Huo, Tengwei Liu, Qingfeng Lv, Xietong Wang   +10 more
wiley   +1 more source

MSGNN-DTA: Multi-Scale Topological Feature Fusion Based on Graph Neural Networks for Drug-Target Binding Affinity Prediction. [PDF]

Int J Mol Sci, 2023
Wang S, Song X, Zhang Y, Zhang K, Liu Y, Ren C, Pang S.   +6 more
europepmc   +1 more source

Biomimetic Copper‐Doped Nano‐Aluminum Adjuvant Potentiates Therapy in Chemoresistant Acute Myeloid Leukemia

Advanced Healthcare Materials, EarlyView.
We developed a novel copper‐doped aluminum nano‐adjuvant (CuNA) to overcome cytarabine resistance in acute myeloid leukemia (AML). CuNA effectively sensitizes drug‐resistant AML cells to cytarabine by inducing mitochondrial dysfunction and inhibiting HMGCR/GPX4 to amplify ferroptosis.
Chao He, Lingxiao Zhang, Yue Xiong, Yu Wang, Yuqing Zeng, Dandan Su, Ran Wang, Ying Li, Hongbo Chen, Fang Cheng, Zhi Ping Xu   +10 more
wiley   +1 more source

Balancing the Affinity and Tumor Cell Binding of a Two-in-One Antibody Simultaneously Targeting EGFR and PD-L1

Antibodies
The optimization of the affinity of monoclonal antibodies is crucial for the development of drug candidates, as it can impact the efficacy of the drug and, thus, the dose and dosing regimen, limit adverse effects, and reduce therapy costs.
Julia Harwardt, Felix Klaus Geyer, Katrin Schoenfeld, David Baumstark, Vera Molkenthin, Harald Kolmar   +5 more
doaj   +1 more source

Characterization of an Injectable Poly(vinyl alcohol)‐gelatin Hydrogel for Growth Factor Delivery in an Orthopedic Application

Advanced Healthcare Materials, EarlyView.
This work introduces photo‐crosslinkable tyraminated poly(vinyl alcohol)‐gelatin (PVA‐GT) hydrogels as tunable injectable platforms for tissue engineering and growth factor delivery applications. This schematic illustrates the two developed hydrogel formulations and the experimental workflow used to evaluate their physico‐chemical properties in vitro ...
Alessia Longoni, Gretel S. Major, Sam Arnold, Samuel Tomkins, Eugenia Spessot, Scott Loeffler, Kieran Lau, Richard Tan, Jessica Harte, Roslyn Kemp, Tess Reynolds, Jelena Rnjak‐Kovacina, Gary J. Hooper, Tim B. F. Woodfield, David C. Kieser, Khoon S. Lim   +15 more
wiley   +1 more source

MTAF–DTA: multi-type attention fusion network for drug–target affinity prediction

BMC Bioinformatics
Background The development of drug–target binding affinity (DTA) prediction tasks significantly drives the drug discovery process forward. Leveraging the rapid advancement of artificial intelligence, DTA prediction tasks have undergone a transformative ...
Jinghong Sun, Han Wang, Jia Mi, Jing Wan, Jingyang Gao   +4 more
doaj   +1 more source

Dual‐Peptide Nanoplatform: Mesoporous Silica Nanoparticles Functionalized With a Cell‐Penetrating Peptide and Loaded With Rationally Designed Antimicrobial Peptides for Tuberculosis Therapy

Advanced Healthcare Materials, EarlyView.
Machine learning–guided engineering of a plectasin‐derived peptide yields DC05, a potent antimycobacterial candidate. Encapsulation into tuftsin‐functionalized mesoporous silica nanoparticles enhances intracellular delivery, stability, and activity against Mycobacterium tuberculosis while maintaining low cytotoxicity and minimal hemolysis. The combined
Christian S. Carnero Canales, Cesar Augusto Roque‐Borda, Ana Carolina Cerqueira Negri, Oswaldo Ramirez Delgado, Letícia Oliveira Catarin Nunes, Flávia Aparecida Resende, Hernane Barud, Norival Alves Santos‐Filho, Saulo Santesso Garrido, Karen Cristina Oliveira, Alexandra Ivo de Medeiros, Rafael Miguel Sábio, Fernando Rogério Pavan   +12 more
wiley   +1 more source