Biology subjects

Pavlova, A.

Publications and source records attributed to Pavlova, A..

22 records · Page 2Linked to original sources

bioRxiv2020

Runcer-Necromancer: A Method To Rescue Data From An Interrupted Run On MGISEQ-2000

During the sequencing process, problems can occur with any device including the MGISEQ-2000 (DNBSEQ-G400) platform. We encountered a power outage that resulted in a temporary shutdown of a sequencer in the middle of the run. Since barcode reading in MGISEQ-2000 takes place at the end of the run, it was impossible to use non-demultiplexed raw data. We decided to completely use up the same cartridge with reagents and flow cell loaded with DNB and started a new run in a shortened custom mode. We figured out how the MGISEQ-2000 converts preliminary data in .cal format into .fastq files and wrote a script named "Runcer-Necromacer" for merging .fastq files based on the analysis of their headers (available online: https://github.com/genomecenter/runcer-necromancer). Read merging proved to be possible because the MGISEQ-2000 flow cell has a patterned structure and each DNB has invariable coordinates on it, regardless of its position on the flow cell stage. We demonstrated the correctness of data merging by comparing sample analysis results with previously obtained .fastq files for them. Thus, we confirmed that it is possible to restart the device and save both parts of the interrupted run.

bioinformatics↗

bioRxiv2020

Inhibitor binding influences the protonation states of histidines in SARS-CoV-2 main protease

The main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an attractive target for antiviral therapeutics. Recently, many high-resolution apo and inhibitor-bound structures of Mpro, a cysteine protease, have been determined, facilitating structure-based drug design. Mpro plays a central role in the viral life cycle by catalyzing the cleavage of SARS-CoV-2 polyproteins. In addition to the catalytic dyad His41-Cys145, Mpro contains multiple histidines including His163, His164, and His172. The protonation states of these histidines and the catalytic nu-cleophile Cys145 have been debated in previous studies of SARS-CoV Mpro, but have yet to be investigated for SARS-CoV-2. In this work we have used molecular dynamics simulations to determine the structural stability of SARS-CoV-2 Mpro as a function of the protonation assignments for these residues. We simulated both the apo and inhibitor-bound enzyme and found that the conformational stability of the binding site, bound inhibitors, and the hydrogen bond networks of Mpro are highly sensitive to these assignments. Additionally, the two inhibitors studied, the peptidomimetic N3 and an -ketoamide, display distinct His41/His164 protonation-state-dependent stabilities. While the apo and the N3-bound systems favored N{delta} (HD) and N{epsilon} (HE) protonation of His41 and His164, respectively, the -ketoamide was not stably bound in this state. Our results illustrate the importance of using appropriate histidine protonation states to accurately model the structure and dynamics of SARS-CoV-2 Mpro in both the apo and inhibitor-bound states, a necessary prerequisite for drug-design efforts.

biophysics↗

bioRxiv2020

Mechanism of action of HBV capsid assembly modulators predicted from binding to early assembly intermediates

Interfering with the self-assembly of virus nucleocapsids is a promising approach for the development of novel antiviral agents. Applied to hepatitis B virus (HBV), this approach has led to several classes of capsid assembly modulators (CAMs) that target the virus by either accelerating nucleocapsid assembly or misdirecting it into non-capsid-like particles. Here, we have assessed the structures of early nucleocapsid assembly intermediates, with and without bound CAMs, using molecular dynamics simulations. We find that distinct conformations of the intermediates are induced depending on whether the bound CAM accelerates or misdirects assembly; these structures are predictive of the final assembly. We also selected non-capsid-like structures from our simulations for virtual screening, resulting in the discovery of several compounds with moderate anti-viral activity and low toxicity. Cryo-electron microscopy and capsid melting experiments suggest that our compounds possess a novel mechanism for assembly modulation, potentially opening new avenues for HBV inhibition.

molecular biology↗

bioRxiv2016

Mitochondrial-nuclear interactions maintain a deep mitochondrial split in the face of nuclear gene flow

Metabolic processes in eukaryotic cells depend on interactions between mitochondrial and nuclear gene products (mitonuclear interactions). These interactions could play a direct role in population divergence. We studied the evolution of mitonuclear interactions in a widespread passerine that experienced population divergence followed by bi-directional mitochondrial introgression into different nuclear backgrounds. Using >60,000 SNPs, we quantified patterns of nuclear genetic differentiation between populations that occupy different climates and harbour deeply divergent mitolineages despite ongoing nuclear gene flow. Analyses were performed independently for two sampling transects intersecting mitochondrial divergence in different nuclear backgrounds. In both transects, low genome-wide nuclear differentiation was accompanied by strong differentiation at a ~15.4 Mb region of chromosome 1A. This region is enriched for genes performing mitochondrial functions. Molecular signatures of selective sweeps in this region alongside those in the mitochondrial genome suggest a history of adaptive mitonuclear co-introgression. The chromosome 1A region has elevated linkage disequilibrium, suggesting that selection on genomic architecture may favour low recombination among nuclear-encoded genes with mitochondrial functions. In this system, mitonuclear interactions appear to maintain the geographic separation of two mitolineages in the face of nuclear gene flow, supporting mitonuclear co-evolution as an important vehicle for climatic adaptation and population divergence.

evolutionary biology↗