With the aim to study solvation effects in peptide structure organization, the energy of different types of hydration in simple amines and amides has been analyzed. It was shown based on the quantum-chemical DFT and PM3 calculations of amino derivatives CH3-(CH2)3-NH2, (CH3)2-NH, CH3-NH2, NH3, CH2=CH-NH2, H-CC-NH2, O=C(CH)3-N(CH3)2, O=C(CH3)-NH(CH3), O=C(CH3)-NH2, O=CH-N(CH3)H, and O=CH-NH2 that: (1) in the given set of molecules, the proton acceptor N...H-O variant of hydrogen bonding of NH2-group with a water molecule is dominating only for the simplest amines. Being primordially weaker, the proton donor N-H...OH variant of water H-bonding gradually increases in energy in the given set as the basicity of the compound decreases, and for the case of amides of carbon acids it becomes already a significant channel of the hydration; (2) the intermolecular N-H...O=C bonding of trans-N-methylacetamides, which models the peptide hydrogen bonds in proteins, induces a "planarization" of its initially nonplanar O=C-NH fragments. However, the addition of water molecules to the complex through the proton acceptor N...H-O variant of binding of N atom not only "restores", but even strengthens the "pyramidalization" of valent bonds of peptide groups in this place.
Download full-text PDF |
Source |
---|
Proc Natl Acad Sci U S A
January 2025
Department of Molecular & Cellular Biosciences, University of Cincinnati, Cincinnati, OH 45267.
TGFβ family ligands are synthesized as precursors consisting of an N-terminal prodomain and C-terminal growth factor (GF) signaling domain. After proteolytic processing, the prodomain typically remains noncovalently associated with the GF, sometimes forming a high-affinity latent procomplex that requires activation. For the TGFβ family ligand anti-Müllerian hormone (AMH), the prodomain maintains a high-affinity interaction with its GF that does not render it latent.
View Article and Find Full Text PDFJ Agric Food Chem
January 2025
College of Chemical Engineering, College of Biological Science and Engineering, Fuzhou University, Fuzhou 350108, P.R.China.
This study aims to explore the cryoprotective mechanisms of food-derived hydrolyzed peptides and develop novel cryoprotectants to enhance the quality of frozen foods. scale antifreeze peptides (Ej-AFP) were prepared using enzymatic hydrolysis, which had a 4-fold increase in protection efficiency for surimi compared to traditional cryoprotectants. Furthermore, Ej-AFP was able to control 63.
View Article and Find Full Text PDFPhys Chem Chem Phys
January 2025
Institut für Ionenphysik und Angewandte Physik, Universität Innsbruck, A-6020 Innsbruck, Austria.
Peptide bond formation from the pure protonated glycine dimer, H(Gly), and from the mixed protonated glycine-diglycine dimer, HGly(Gly), was recently found experimentally to occur in gas-phase experiments in the absence of any catalyst and especially under anhydrous conditions [, 2023, , 775]. In this contribution we further examine the conditions of such unimolecular reactions by means of density-functional theory calculations at the DFT/M06 2X/6-311G++(2df,p) level, focusing in particular on the role played by the protonation site. Two pathways, stepwise and concerted, are identified for the pure protonated dimer, and six pathways are examined for the mixed dimer.
View Article and Find Full Text PDFACS Nano
January 2025
College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, P. R. China.
The emergence of multidrug-resistant (MDR) pathogens, coupled with the limited effectiveness of existing antibiotics in eradicating biofilms, presents a significant threat to global health care. This critical situation underscores the urgent need for the discovery and development of antimicrobial agents. Recently, peptide-derived antimicrobial nanomaterials have shown promise in combating such infections.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
The Key Laboratory of Computational Chemistry and Drug Design, State Key Laboratory of Chemical Oncogenomic, School of Chemical Biology and Biotechnology, Peking University Shenzhen Graduate School, Shenzhen 518055, China.
Accurate structural feature characterization of cyclic peptides (CPs), especially those with less than 10 residues and -peptide bonds, is challenging but important for the rational design of bioactive peptides. In this study, we performed high-temperature molecular dynamics (high-T MD) simulations on 250 CPs with random sequences and applied the point-adaptive k-nearest neighbors (PAk) method to estimate the free energies of millions of sampled conformations. Using this data set, we trained a SchNet-based deep learning model, termed CPconf_score, to predict the conformational free energies of CPs.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!