Biology subjects

Schulz, T.

Publications and source records attributed to Schulz, T..

6 recordsLinked to original sources

bioRxiv2026

Phenotypic Screening Identifies Small-Molecule Inhibitors with Distinct Activities across the BK Polyomavirus Life Cycle

BACKGROUND: BK polyomavirus (BKPyV) reactivation is a major complication in kidney and hematopoietic stem cell transplant recipients, yet no specific antiviral therapy is currently available. Antiviral discovery is complicated by the restricted tropism and slow replication kinetics of BKPyV and its extensive dependence on cellular processes. RESULTS: We established a phenotypic high-throughput screening and validation pipeline to identify small molecule inhibitors of BKPyV infection. Using an SV40-infected CV1 reporter system, approximately 28,000 small molecules were screened, yielding 98 primary candidates. Confirmatory testing identified 33 compounds with reproducible activity, of which 16 subsequently inhibited BKPyV in human renal proximal tubular epithelial cells. Concentration response and cytotoxicity analyses revealed distinct antiviral potency and selectivity profiles, and integration of these data with predicted toxicity, physicochemical properties, and synthetic accessibility enabled further compound prioritization. Time of addition experiments revealed distinct temporal windows of antiviral activity, and MOI dependent concentration response analyses demonstrated that the potency of selected inhibitors varied with viral inoculum. Further characterization of prioritized compounds identified differential effects on BKPyV attachment and viral gene expression. Transcriptomic profiling of three selected compounds C5, C8, and C9 revealed distinct compound-associated cellular responses, supporting interference with different host-dependent processes during BKPyV infection. CONCLUSIONS: We identified a pharmacologically diverse panel of small-molecule inhibitors active against BKPyV in human renal epithelial cells. Their distinct potency, selectivity, temporal activity, and cellular response profiles indicate multiple modes of antiviral interference and establish C5, C8, and C9 as candidates for further target identification and optimization. More broadly, our findings demonstrate the utility of surrogate phenotypic screening for discovering inhibitors of BKPyV and provide new chemical tools to investigate host dependencies of the BKPyV life cycle.

microbiology↗

bioRxiv2023

Exact Sketch-Based Read Mapping

Given a sequencing read, the broad goal of read mapping is to find the location(s) in the reference genome that have a "similar sequence". Traditionally, "similar sequence" was defined as having a high alignment score and read mappers were viewed as heuristic solutions to this well-defined problem. For sketch-based mappers, however, there has not been a problem formulation to capture what problem an exact sketch-based mapping algorithm should solve. Moreover, there is no sketch-based method that can find all possible mapping positions for a read above a certain score threshold. In this paper, we formulate the problem of read mapping at the level of sequence sketches. We give an exact dynamic programming algorithm that finds all hits above a given similarity threshold. It runs in [O] (|t| + |p| +{ell} 2) time and {Theta}({ell}2) space, where |t| is the number of k-mers inside the sketch of the reference, |p| is the number of k-mers inside the reads sketch and{ell} is the number of times that k-mers from the pattern sketch occur in the sketch of the text. We evaluate our algorithms performance in mapping long reads to the T2T assembly of human chromosome Y, where ampliconic regions make it desirable to find all good mapping positions. For an equivalent level of precision as minimap2, the recall of our algorithm is 0.88, compared to only 0.76 of minimap2. 2012 ACM Subject ClassificationApplied computing [->] Computational biology

bioinformatics↗

bioRxiv2021

Doors and corners of variance partitioning in statistical ecology

Variance partitioning is a common tool for statistical analysis and interpretation in both observational and experimental studies in ecology. Its popularity has led to a proliferation of methods with sometimes confusing or contradicting interpretations. Here, we present variance partitioning as a general tool in a model based Bayesian framework for summarizing and interpreting regression-like models. To demonstrate our approach we present a case study comprising of a simple occupancy model for a metapopulation of the Glanville fritillary butterfly. We pay special attention to the thorny issue of correlated covariates and random effects, and highlight uncertainty in variance partitioning. We recommend several alternative measures of variance, which jointly can be used to better interpret variance partitions. Additionally, we extend the general approach to encompass partitioning of variance within and between groups of observations, an approach very similar to analysis of variance. While noting that many troublesome issues relating to variance partitioning, such as uncertainty quantification, have been neglected in the literature, we likewise feel that the rather general applicability of the methods as an extension of statistical model-based analyses has not been fully utilized by the ecological research community either.

ecology↗

bioRxiv2021

Repurposing screen highlights broad-spectrum coronavirus antivirals and their host targets

Libraries composed of licensed drugs represent a vast repertoire of molecules modulating physiologic processes in humans, thus providing unique opportunities for discovery of host targeting antivirals. We interrogated the ReFRAME repurposing library with 12,993 molecules for broad-spectrum coronavirus antivirals and discovered 134 compounds inhibiting an alphacoronavirus, mapping to 59 molecular target categories. Dominant targets included the 5-hydroxytryptamine receptor and dopamine receptor and cyclin-dependent kinase inhibitors. Counter-screening with SARS-CoV-2 and validation in primary cells identified Phortress, an aryl hydrocarbon receptor (AHR) ligand, Bardoxolone and Omaveloxolone, two nuclear factor, erythroid 2 like 2 (NFE2L2) activators as inhibitors of both alpha- and betacoronaviruses. The landscape of coronavirus targeting molecules provides important information for the development of broad-spectrum antivirals reinforcing pandemic preparedness.

microbiology↗

bioRxiv2020

Detecting High Scoring Local Alignments in Pangenome Graphs

MotivationIncreasing amounts of individual genomes sequenced per species motivate the usage of pangenomic approaches. Pangenomes may be represented as graphical structures, e.g. compacted colored de Bruijn graphs, which offer a low memory usage and facilitate reference-free sequence comparisons. While sequence-to-graph mapping to graphical pangenomes has been studied for some time, no local alignment search tool in the vein of BLAST has been proposed yet. ResultsWe present a new heuristic method to find maximum scoring local alignments of a DNA query sequence to a pangenome represented as a compacted colored de Bruijn graph. Our approach additionally allows a comparison of similarity among sequences within the pangenome. We show that local alignment scores follow an exponential-tail distribution similar to BLAST scores, and we discuss how to estimate its parameters to separate local alignments representing sequence homology from spurious findings. An implementation of our method is presented, and its performance and usability are shown. Our approach scales sublinearly in running time and memory usage with respect to the number of genomes under consideration. This is an advantage over classical methods that do not make use of sequence similarity within the pangenome.

bioinformatics↗

bioRxiv2020

Evaluating assembly and variant calling software for strain-resolved analysis of large DNA-viruses

Infection with human cytomegalovirus (HCMV) can cause severe complications in immunocompromised individuals and congenitally infected children. Characterizing heterogeneous viral populations and their evolution by high-throughput sequencing of clinical specimens requires the accurate assembly of individual strains or sequence variants and suitable variant calling methods. However, the performance of most methods has not been assessed for populations composed of low divergent viral strains with large genomes, such as HCMV. In an extensive benchmarking study, we evaluated 15 assemblers and six variant callers on ten lab-generated benchmark data sets created with two different library preparation protocols, to identify best practices and challenges for analyzing such data. Most assemblers, especially metaSPAdes and IVA, performed well across a range of metrics in recovering abundant strains. However, only one, Savage, recovered low abundant strains and in a highly fragmented manner. Two variant callers, LoFreq and VarScan2, excelled across all strain abundances. Both shared a large fraction of false positive (FP) variant calls, which were strongly enriched in T to G changes in a "G.G" context. The magnitude of this context-dependent systematic error is linked to the experimental protocol. We provide all benchmarking data, results and the entire benchmarking workflow named QuasiModo, Quasispecies Metric determination on omics, under the GNU General Public License v3.0 (https://github.com/hzi-bifo/Quasimodo), to enable full reproducibility and further benchmarking on these and other data.

bioinformatics↗