The temporary transition of macrophages from a pro‐inflammatory phenotype of macrophages (M1) to an anti‐inflammatory phenotype of macrophages (M2) is crucial for tissue repair and regeneration processes. Bacterial outer membrane vesicles (OMVs) are utilized as a “trojan horse” for specific M1 macrophage‐targeting and anti‐inflammatory drug delivery ...
Donglin Cai+9 more
wiley +1 more source
Advances in AI for Protein Structure Prediction: Implications for Cancer Drug Discovery and Development. [PDF]
Qiu X, Li H, Ver Steeg G, Godzik A.
europepmc +1 more source
Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer+10 more
wiley +1 more source
Protein secondary structure prediction based on an improved support vector machines approach [PDF]
Hyeun Bum Kim, H. Park
openalex +1 more source
High‐Throughput Microfluidic‐Mediated Assembly of Layer‐By‐Layer Nanoparticles
The layer‐by‐layer (LbL) assembly of polymer films on nanoparticle (NP) surfaces is a promising technique for targeted drug delivery. Despite its success in preclinical mouse models, a current good manufacturing practices (cGMP) compliant, clinical‐scale production method has been lacking.
Ivan S. Pires+4 more
wiley +1 more source
Ab initio protein structure prediction using pathway models [PDF]
Xin Yuan, Yu Shao, Christopher Bystroff
openalex +1 more source
In this study, a physically enhanced vascular dECM bioink and used 3D‐coaxial bioprinting are developed to fabricate mature brain blood vessels for cerebral atherosclerosis research. This model demonstrates that vascular geometry‐induced hemodynamic changes trigger vascular inflammation, ensuring its potential for cerebrovascular research.
Wonbin Park+7 more
wiley +1 more source
EFG-CS: Predicting chemical shifts from amino acid sequences with protein structure prediction using machine learning and deep learning models. [PDF]
Gu X, Myung Y, Rodrigues CHM, Ascher DB.
europepmc +1 more source
Correction to: DeepFold: enhancing protein structure prediction through optimized loss functions, improved template features, and re-optimized energy function. [PDF]
europepmc +1 more source