Biology subjects

Djurabekova, A.

Publications and source records attributed to Djurabekova, A..

5 recordsLinked to original sources

bioRxiv2026

Fast prediction of acidic amino acid sidechain conformations for cryo-EM modeling

Cryogenic-electron microscopy (cryo-EM) has revolutionized the field of protein structural biology. The structures of large membrane proteins are now routinely determined by cryo-EM to near atomic resolution. However, in the medium resolution range of cryo-EM maps (>[~]2 [A]), negatively charged sidechains of acidic residues are not well-resolved due to the negative electrostatic potential of the region. This may lead to incorrect sidechain models for residues like glutamic acid or aspartic acid that are central for proton transfer activity in various respiratory and photosynthetic enzymes. We previously proposed that the acidic residues with weak or non-existent cryo-EM density can be modeled to represent their low proton affinity conformations. Here, we tested this hypothesis on a larger data set of acidic amino acid residues in two high-resolution respiratory complex I structures. By using faster sidechain modeling and proton affinity prediction tools, we created a workflow that generates sidechain conformations of selected amino acid residues. We validated the sidechain conformation predictions by Q-score analysis and atomistic molecular dynamics simulations in different charged states. The proposed workflow provides a way to rapidly obtain sidechain conformations of acidic residues with weak cryo-EM densities and can be integrated into the existing cryo-EM modeling pipelines to speed up sidechain rotamer prediction.

biophysics↗

bioRxiv2025

In situ Structure of the Human Gap Junction

Gap junction plaques (GJPs) enable direct intercellular communication and consist of connexin channels arranged into two-dimensional lattices. While structures of purified connexin channels have informed models of gating, they omit key intracellular regions and lack native context. Here, we use cryogenic electron tomography and focused ion beam milling to determine the in situ structure of human connexin-43 (Cx43) GJPs in HEK293 cells at 14 [A] resolution. We discover a previously unresolved structural role for the large C-terminal domain in mediating lateral channel-channel interactions critical for plaque assembly. Coarse-grained molecular dynamics simulations reveal how lipids and cholesterol occupy the space between adjacent connexins. These findings resolve a decades-old question regarding gap junction organization and highlight a mechanistic function for the C-terminal domain, likely regulated by phosphorylation. Our study provides a structural blueprint for understanding how connexin diversity and regulation shape tissue-level communication in health and disease.

cell biology↗

bioRxiv2024

Structural basis of respiratory complexes adaptation to cold temperatures

In response to cold, mammals activate brown fat for respiratory-dependent thermogenesis reliant on the electron transport chain (1, 2). Yet, the structural basis of respiratory complex adaptation to cold remains elusive. Herein we combined thermoregulatory physiology and cryo-EM to study endogenous respiratory supercomplexes exposed to different temperatures. A cold-induced conformation of CI:III2 (termed type 2) was identified with a [~]25{degrees} rotation of CIII2 around its inter-dimer axis, shortening inter-complex Q exchange space, and exhibiting different catalytic states which favor electron transfer. Large-scale supercomplex simulations in lipid membrane reveal how unique lipid-protein arrangements stabilize type 2 complexes to enhance catalytic activity. Together, our cryo-EM studies, multiscale simulations and biochemical analyses unveil the mechanisms and dynamics of respiratory adaptation at the structural and energetic level.

cell biology↗

bioRxiv2023

Role of protonation states in stability of molecular dynamics simulations of high-resolution membrane protein structures

Classical molecular dynamics (MD) simulations provide unmatched spatial and time resolution of protein structure and function. However, accuracy of MD simulations often depends on the quality of force field parameters and the time scale of sampling. Another limitation of conventional MD simulations is that the protonation states of titratable amino acid residues remain fixed during simulations, even though protonation state changes coupled to conformational dynamics are central to protein function. Due to the uncertainty in selecting protonation states, classical MD simulations are sometimes performed with all amino acids modeled in their standard charged states at pH 7. Here we performed and analyzed classical MD simulations on high-resolution cryo-EM structures of two membrane proteins that transfer protons by catalyzing protonation/deprotonation reactions. In simulations performed with amino acids modeled in their standard protonation state the structure diverges far from its starting conformation. In comparison, MD simulations performed with pre-determined protonation states of amino acid residues reproduce the structural conformation, protein hydration, and protein-water and protein-protein interactions of the structure much better. The results suggest it is crucial to perform basic protonation state calculations, especially on structures where protonation changes play an important functional role, prior to launching any MD simulations. Furthermore, the combined approach of protonation state prediction and MD simulations can provide valuable information on the charge states of amino acids in the cryo-EM sample. Even though accurate prediction of protonation states currently remains a challenge, we introduce an approach of combining pKa prediction with cryo-EM density map analysis that helps in improving not only the protonation state predictions, but also the atomic modeling of density data.

biophysics↗

bioRxiv2021

High-resolution structure and dynamics of mitochondrial complex I - insights into the proton pumping mechanism

Mitochondrial NADH:ubiquinone oxidoreductase (complex I) is a 1 MDa membrane protein complex with a central role in energy metabolism. Redox-driven proton translocation by complex I contributes substantially to the proton motive force that drives ATP synthase. Several structures of complex I from bacteria and mitochondria have been determined but its catalytic mechanism has remained controversial. We here present the cryo-EM structure of complex I from Yarrowia lipolytica at 2.1 [A] resolution, which reveals the positions of more than 1600 protein-bound water molecules, of which [~]100 are located in putative proton translocation pathways. Another structure of the same complex under steady-state activity conditions at 3.4 [A] resolution indicates conformational transitions that we associate with proton injection into the central hydrophilic axis. By combining high-resolution structural data with site-directed mutagenesis and large-scale molecular dynamics simulations, we define details of the proton translocation pathways, and offer new insights into the redox-coupled proton pumping mechanism of complex I.

biochemistry↗