Protein folding energetics can be determined experimentally on a case-by-case basis but it is not understood in sufficient detail to provide deep control in protein design. The fundamentals of protein stability have been outlined by calorimetry, protein engineering, and biophysical modeling, but these approaches still face great difficulty in elucidating the specific contributions of the intervening molecules and physical interactions. Recently, we have shown that the enthalpy and heat capacity changes associated to the protein folding reaction can be calculated within experimental error using molecular dynamics simulations of native protein structures and their corresponding unfolded ensembles. Analyzing in depth molecular dynamics simulations of four model proteins (CI2, barnase, SNase, and apoflavodoxin), we dissect here the energy contributions to ΔH (a key component of protein stability) made by the molecular players (polypeptide and solvent molecules) and physical interactions (electrostatic, van der Waals, and bonded) involved. Although the proteins analyzed differ in length, isoelectric point and fold class, their folding energetics is governed by the same quantitative pattern. Relative to the unfolded ensemble, the native conformations are enthalpically stabilized by comparable contributions from protein-protein and solvent-solvent interactions, and almost equally destabilized by interactions between protein and solvent molecules. The native protein surface seems to interact better with water than the unfolded one, but this is outweighed by the unfolded surface being larger. From the perspective of physical interactions, the native conformations are stabilized by van de Waals and Coulomb interactions and destabilized by conformational strain arising from bonded interactions. Also common to the four proteins, the sign of the heat capacity change is set by interactions between protein and solvent molecules or, from the alternative perspective, by Coulomb interactions.
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http://dx.doi.org/10.1002/pro.4905 | DOI Listing |
Bioinformatics
January 2025
Department of Molecular Genetics, University of Toronto, Ontario, M5S 3K3, Canada.
Motivation: Accurate prediction of protein side-chain conformations is necessary to understand protein folding, protein-protein interactions and facilitate de novo protein design.
Results: Here we apply torsional flow matching and equivariant graph attention to develop FlowPacker, a fast and performant model to predict protein side-chain conformations conditioned on the protein sequence and backbone. We show that FlowPacker outperforms previous state-of-the-art baselines across most metrics with improved runtime.
Background: Older adults with type 2 diabetes (T2D) are more likely to develop Alzheimer's disease (AD) due to impaired brain metabolism. Although the underlying mechanisms of this relationship are largely unknown, lower levels of brain-derived neurotrophic factor (BDNF) -which promotes hippocampal neurogenesis in adulthood- and atrophy of the hippocampus are evident in patients with T2D and dementia, possibly linking the two conditions. The hippocampus is comprised of multiple subfields, each with their respective functions, cellular composition, and age-related sensitivity.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Background: Protein misfolding is a key pathological phenomenon driving neurodegenerative diseases that affect millions of people. Visualizing this misfolding process with smart imaging probes would greatly facilitate early diagnosis, etiology elucidation, disease progression monitoring, and drug discovery of neurodegeneration. Although numerous probes have been reported, several unmet needs still exist.
View Article and Find Full Text PDFBiochim Biophys Acta Mol Basis Dis
January 2025
Shanghai Clinical Research Center of Bone Disease, Department of Osteoporosis and Bone Diseases, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address:
Cole-Carpenter syndrome (CCS) is a rare autosomal-dominant genetic disease characterized by craniosynostosis, ocular proptosis, hydrocephalus, distinctive facial features, and bone fragility. Previous cases of CCS are associated with genetic variations in P4HB, which encodes the protein disulfide isomerase (PDI), a key enzyme in protein folding. Patients with CCS caused by P4HB mutations often present with short stature, limb deformities, and abnormal epiphyseal plates.
View Article and Find Full Text PDFJ Pharm Sci
January 2025
Laboratory of Applied Biochemistry, Division of Biotechnology Review and Research III, Office of Biotechnology Products, Center for Drug Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.. Electronic address:
Post translational modifications (PTMs) of proteins play an integral role in maintaining the overall structure and function of proteins including their proper folding, binding, and potency. However, not all PTMs play a positive role in protein drugs as some can lead to product-related impurities that negatively impact protein function. One example of a PTM is trisulfide formation, which appears as a product related species in multiple biologic drug products.
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