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Large-scale genome sequencing holds great promise for the interpretation of protein structures through the discovery of many, rare functional variants in the human population. However, because protein-coding regions are under high selective constraints, these variants occur at low frequencies, such that there is often insufficient statistics for downstream calculations. To address this problem, we develop the Intensification approach, which uses the modular structure of repeat protein domains to amplify signals of selection from population genetics and traditional interspecies conservation. In particular, we are able to aggregate variants at the codon level to identify important positions in repeat domains that show strong conservation signals. This allows us to compare conservation over different evolutionary timescales. It also enables us to visualize population-genetic measures on protein structures. We make available the Intensification results as an online resource (http://intensification.gersteinlab.org) and illustrate the approach through a case study on the tetratricopeptide repeat.
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http://dx.doi.org/10.1016/j.jmb.2016.12.003 | DOI Listing |
Trends Biochem Sci
September 2025
Department of Biomedical Sciences, University of Padova, Padova, Italy; Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council (CNR-IBIOM), Bari 70126, Italy. Electronic address:
The rise of AlphaFold and similar structure predictors has made it possible to determine the 3D structure of almost any protein from its amino acid sequence. Residue interaction networks (RINs), graphs where residues are represented as nodes and interactions as edges, provide a powerful framework for analyzing and interpreting this surge in structural data. Here, we provide a comprehensive introduction to RINs, exploring different approaches to constructing and analyzing them, including their integration with molecular dynamics (MD) simulations and artificial intelligence (AI).
View Article and Find Full Text PDFDrug Discov Today
September 2025
Department of Pharmaceutical and Artificial-Intelligence Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Key Laboratory of Protection, Development and Utilization of Medicinal Resources in Liupanshan Area, Ministry of Education, Peptide & Protein Drug Research Cen
The landscape of allosteric drug discovery is undergoing a transformative shift, driven by the integration of three computational approaches: machine learning (ML), molecular dynamics (MD) simulations, and network theory. ML identifies potential allosteric sites from multidimensional biological datasets; MD simulations, empowered by enhanced sampling algorithms, reveal transient conformational states; and network analyses uncover communication pathways, further aiding in site identification. Their synergy enables rational allosteric modulator design.
View Article and Find Full Text PDFAnn Anat
September 2025
Department of Biology, Faculty of Arts and Sciences, Burdur Mehmet Akif Ersoy University, Burdur, Turkey.
The Anatolian ground squirrel (Spermophilus xanthoprymnus) offers a valuable model for investigating neuroadaptive processes in the retina during hibernation. This study aimed to assess the expression of vesicular glutamate transporter 1 (VGLUT1), glutamic acid decarboxylase (GAD) isoforms GAD65 and GAD67, and microtubule-associated protein 2 (MAP2) in the retina during pre-hibernation and hibernation states. Retinal tissues were analyzed using immunohistochemistry and densitometric quantification.
View Article and Find Full Text PDFEur J Pharm Sci
September 2025
Department of Medicinal Chemistry, Uppsala University, SE-75123 Uppsala, Sweden. Electronic address:
Subcutaneous (SC) injection is the primary alternative to oral administration for therapeutic proteins and peptides. However, bioavailability and absorption rate are often variable and difficult to predict. Therefore, there is a need for new biorelevant and predictive SC in vitro methods.
View Article and Find Full Text PDFBiochim Biophys Acta Mol Cell Res
September 2025
University of Warsaw, Faculty of Biology, Institute of Experimental Plant Biology and Biotechnology, Department of Plant Metal Homeostasis, 1 Miecznikowa Str., 02-096, Warszawa, Poland. Electronic address:
The Natural Resistance Associated Macrophage Proteins (NRAMPs) are membrane-targeted transporters with low substrate specificity, that mediate the import (translocation to the cytoplasm) of metals, mainly essential nutrients, e.g. iron (Fe), manganese (Mn), zinc (Zn), cobalt (Co), copper (Cu) or nickel (Ni).
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