Results 251 to 260 of about 664,651 (329)
Multidimensional maturation of antibody variable domains with machine-learning assistance. [PDF]
Ito T +4 more
europepmc +1 more source
In the H‐type electrolytic cell, carbon dioxide is reduced to acetic acid via electro‐microbial catalysis. The simply processed acetic acid is further converted through biological fermentation into high‐value‐added products, including acrylic acid, L‐lactic acid, and β‐alanine.
Kaixing Xiao +8 more
wiley +1 more source
AI-Driven Enzyme Engineering: Emerging Models and Next-Generation Biotechnological Applications. [PDF]
Khan MF, Khan MT.
europepmc +1 more source
This study demonstrates that somatic PIK3CA mutations suppress PPT1 expression via activation of the PI3K–AKT–c‐JUN axis. This reduction in PPT1 weakens its interaction with P300, thereby increasing palmitoylation at C1176 of P300 and protecting P300 from lysosomal degradation.
Hongrui Chen +7 more
wiley +1 more source
Uncertainty-aware genomic deep learning with knowledge distillation. [PDF]
Zhou J +4 more
europepmc +1 more source
This study integrates random matrix theory (RMT) and principal component analysis (PCA) to improve the identification of correlated regions in HIV protein sequences for vaccine design. PCA validation enhances the reliability of RMT‐derived correlations, particularly in small‐sample, high‐dimensional datasets, enabling more accurate detection of ...
Mariyam Siddiqah +3 more
wiley +1 more source
Use of gain-of-function suppressor screening to elucidate <i>Candida albicans</i> Cdr1 efflux mechanism, inhibition, and drug resistance. [PDF]
Zhao M, Niimi M, Cannon RD, Lamping E.
europepmc +1 more source
Mutagenesis and Evolution of Sulfated Antibodies Using an Expanded Genetic Code
Chang C. Liu +4 more
openalex +1 more source
AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials
Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley +1 more source

