Amine transaminases have recently gained a lot of attention for the synthesis of chiral amines. Using (R)-selective amine transaminase from Aspergillus terreus (AT-ATA) as a transaminase model, in silico design was applied employing B-factor and folding free energy (ΔΔG) calculations. Mutation sites were selected by targeting flexible regions with the greatest B-factors, and were substituted with amino acids that were determined by folding free energy calculations (ΔΔG < 0) to be more rigid than the original ones. By site-directed mutagenesis, we obtained four stabilized mutants (T130M, T130F, E133F and D134L) with improved stability from 19 candidates. Compared to the wild type, the best single mutant (T130M) showed an increase in thermal stability with a nearly 2.2-fold improvement of half-life (t) at 40 °C and a 3.5 °C higher T. The optimum catalytic temperature of T130F was increased by 10 °C. In addition, the T130M/E133F double mutant displayed the largest shift in thermostability with 3.3-fold improvement of t at 40 °C and a 5.0 °C higher T. Modeling analysis showed that new hydrophobic interactions and hydrogen bonds might contribute to the observed thermostability improvement.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.bbrc.2016.12.131 | DOI Listing |
iScience
February 2025
Division of Newborn Medicine, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Neurodevelopmental impairments associated with congenital heart disease (CHD) may arise from perturbations in brain developmental pathways, including the formation of sulcal patterns. While genetic factors contribute to sulcal features, the association of noncoding variants (ncDNVs) with sulcal patterns in people with CHD remains poorly understood. Leveraging deep learning models, we examined the predicted impact of ncDNVs on gene regulatory signals.
View Article and Find Full Text PDFFront Mol Biosci
January 2025
Department of Biochemistry, Faculty of Agriculture, Zagazig University, Zagazig, Egypt.
Introduction: This study investigated the tryptic hydrolysis of β-lactoglobulin (BLG) for 30, 60, 90, and 120 min at 1/200 E/S (enzyme/substrate ratio, w/w) to prepare potentially anticarcinogenic peptides.
Methods: The properties of hydrolysates were characterized, including degree of hydrolysis, free amino acids, SDS-PAGE, FTIR, and antioxidant activity employing DPPH-assay, β-carotene/linoleic acid, and FRAP assay.
Results: BLG tryptic hydrolysate produced after 60 min hydrolysis recorded the highest antioxidant activity, and LCMS analysis revealed 162 peptides of molecular masses ranging from 800 to 5671Da, most of them are of hydrophobic nature.
Protein Sci
February 2025
Department of Chemistry and Biochemistry, Center for RNA Biology, The Ohio State University, Columbus, Ohio, USA.
Loz1 is a zinc-responsive transcription factor in fission yeast that maintains cellular zinc homeostasis by repressing the expression of genes required for zinc uptake in high zinc conditions. Previous deletion analysis of Loz1 found a region containing two tandem CH zinc-fingers and an upstream "accessory domain" rich in histidine, lysine, and arginine residues to be sufficient for zinc-dependent DNA binding and gene repression. Here we report unexpected biophysical properties of this pair of seemingly classical CH zinc fingers.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Pharmaceutical Nanotechnology Research Laboratory, Department of Pharmaceutics, National Institute of Pharmaceutical Education and Research (NIPER), Hyderabad, Telangana, India. Electronic address:
The objective of this work was to explore the Teriflunomide (TFM) -loaded chondroitin sulfate hybridized zein nanoparticles (TZCNPs) for the treatment of triple-negative breast cancer (TNBC). The particle size, PDI and %EE of optimized TZCNPs was found 208.7 ± 7.
View Article and Find Full Text PDFBiophys Chem
January 2025
Department of Chemical and Biological Sciences, S. N. Bose National Centre for Basic Sciences, Kolkata 700106, India. Electronic address:
Quantitative characterization of protein conformational landscapes is a computationally challenging task due to their high dimensionality and inherent complexity. In this study, we systematically benchmark several widely used dimensionality reduction and clustering methods to analyze the conformational states of the Trp-Cage mini-protein, a model system with well-documented folding dynamics. Dimensionality reduction techniques, including Principal Component Analysis (PCA), Time-lagged Independent Component Analysis (TICA), and Variational Autoencoders (VAE), were employed to project the high-dimensional free energy landscape onto 2D spaces for visualization.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!