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Trofimova, E.

Publications and source records attributed to Trofimova, E..

5 recordsLinked to original sources

kitAb: an automated framework for assay-specific antibody developability modeling and large-scale landscape analysis

Antibody developability is determined by multiple physicochemical properties, and the relevance of individual properties varies among experimental assays. Existing computational approaches, however, often provide fixed assessments or rely on computationally intensive descriptors. We present kitAb, an open-source framework for scalable physicochemical characterization of antibody Fv regions and assay-specific developability modeling. kitAb calculates 59 interpretable sequence- and structure-based descriptors and integrates them with automated feature selection and regression. We evaluated kitAb across ten public datasets comprising 46 experimental endpoints, using sequence-aware or predefined splits where feasible. Predictive performance was strongly assay-dependent. In nested evaluations with sequence-aware or predefined data splits, models using kitAb descriptors achieved predictive performance comparable on average to those using PROPERMAB descriptors, while outperforming models based on TAP or sequence-only features. In a single-structure CPU timing benchmark, kitAb descriptor calculation was approximately 11-fold faster than PROPERMAB. Predictive performance was similar across the three structure-generation backends, and broader AutoML searches did not substantially improve mean performance. We further applied the same descriptor representation to approximately 3.4 million paired natural antibodies and 706 Phase II or later therapeutic antibodies. Repertoire-scale analysis revealed systematic differences in surface charge, hydrophobic and aromatic organization, CDR length and germline-associated physicochemical profiles. The kitAb code and analysis workflows are openly available at https://github.com/katyachemistry/kitAb/.

bioinformatics↗

Improved in silico and in vitro methods for E. coli LPS outer core typing

The Gram-negative bacterial envelope comprises the outer membrane, periplasmic space with the peptidoglycan layer, and inner (cytoplasmic) membrane. A lipopolysaccharide (LPS) layer linked to the outer membrane is essential for survival in most species of bacteria, primarily by providing structural stability and regulating selective chemical permeability. These functions make the LPS layer a key pathogenicity determinant, protecting bacteria from host defences. At the same time, it serves as a common receptor for multiple bacteriophage orders, making it a crucial point of bacterial vulnerability. LPS outer core typing is traditionally performed using immunoblotting and PCR. With the increasing availability of sequenced genomes, PCR has emerged as the primary method for typing. This study presents a set of nine oligonucleotides designed for typing the five LPS outer core structures of Escherichia coli: R1, R2, R3, R4, and K-12, both in vitro and in silico. Our method was able to successfully type 99% of strains within a comprehensive dataset of 4549 complete genomes. Using these new methods, we identify previously unreported hybrid LPS structures involving R2 and K-12 outer core types and establish associations between LPS outer core types and E. coli phylogenetic groups, pathogenicity, O-antigen polysaccharides, and capsule types. We also introduce LPSTyper, a Python-based command-line tool that enables rapid and precise LPS outer core typing in E. coli genome sequences. Together, the expanded dataset of LPS outer core types and enhanced laboratory and computational tools for their detection provide new insights into LPS structural evolution and its role in E. coli ecology and pathogenicity. We anticipate these tools will improve the efficiency of future research and diagnostics of this important bacterial envelope structure. Impact StatementBacterial lipopolysaccharide (LPS) layer types are important for determining both pathogenicity potential and phage susceptibility. This study presents a robust and scalable framework for precise typing of Escherichia coli lipopolysaccharide (LPS) outer core types, enabled by the development of nine novel oligos targeting the waa locus. Using the LPSTyper tool for in silico analysis and a simple PCR-based method for in vitro validation, this approach allows rapid and accurate typing across thousands of genomes, supporting large-scale monitoring of LPS diversity in both commensal and pathogenic E. coli populations. Our findings reveal strong associations between LPS outer core types, O-antigens, capsules, phylogenetic groups, and pathotypes, highlighting the critical role of LPS structure in virulence, immune evasion, and environmental adaptation. The discovery of hybrid and novel waa locus arrangements further underscores the evolutionary plasticity of LPS biosynthesis. Overall, this work provides essential tools and insights for genomic surveillance and deepens our understanding of E. coli surface structure variability central to host-pathogen interactions and antimicrobial resistance. Data SummaryThe LPSTyper source code is freely available on GitHub under the Apache 2.0 licence: https://github.com/ellinium/LPSTyper. Sequencing data for all genomes used in this study are accessible via the NCBI database under BioProject accession number PRJNA1243169. Individual genome accession numbers are listed in Table 2. All supporting data are provided in Supplementary Data Files 1 and 2. O_TBL View this table: org.highwire.dtl.DTLVardef@951af3org.highwire.dtl.DTLVardef@11c790eorg.highwire.dtl.DTLVardef@4fb5e3org.highwire.dtl.DTLVardef@12e87caorg.highwire.dtl.DTLVardef@1d4fc1a_HPS_FORMAT_FIGEXP M_TBL O_FLOATNOTable 2.C_FLOATNO O_TABLECAPTIONReference E. coli strains used in in vitro PCR. C_TABLECAPTION C_TBL

microbiology↗

Discovery and characterisation of new phage targeting uropathogenic Escherichia coli

Antimicrobial resistance (AMR) is increasing at an escalating rate with few new therapeutic options in the pipeline. Urinary tract infections (UTIs) are one of the most prevalent bacterial infections globally and are particularly prone to becoming recurrent and antibiotic resistant. The aim of this study was to discover and characterise new bacterial viruses (phage) against uropathogenic Escherichia coli (UPEC), which is the leading cause of UTIs. Six phages from the Autographiviridae family and Guernseyvirinae sub-family were isolated from wastewater and sequenced. The length of the isolated phage genomes was between 39,471 bp and 45,233 bp, with a GC content between 45.0% and 51.0%, and 57 to 84 predicted coding sequences (CDS) per genome. These phages were found to infect between 25 - 75% of the twelve UPEC strains tested. Using sequence comparison and predicted structural alignments, we show a similarity between the C-terminal domain of the tail fiber proteins of two phage that correlates with their host range. In vitro characterisation of phage cocktails against a single bacterial strain did not perform better than the best-performing phage, but did show synergistic improvement against a mixed UPEC strain population. Lastly, we measured the effectiveness of treatment with phage with different lytic kinetics in a sequential treatment and found it was improved over single phage treatment.

microbiology↗

A Codon Constrained Method for Both Eliminating and Creating Intragenic Bacterial Promoters

Future applications of synthetic biology will require refactored genetic sequences devoid of internal regulatory elements within coding sequences. These regulatory elements include cryptic and intragenic promoters which may constitute up to a third of predicted Escherichia coli promoters. Promoter activity is dependent on the structural interaction of core bases with a {sigma} factor. Rational engineering can be used to alter key promoter element nucleotides interacting with {sigma} factors and eliminate downstream transcriptional activity. In this paper, we present COdon Restrained Promoter SilEncing (CORPSE), a system for removing intragenic promoters. CORPSE exploits the DNA-{sigma} factor structural relationship to disrupt {sigma}70 promoters embedded within gene coding sequences, with a minimum of synonymous codon changes. Additionally, we present an inverted CORPSE system, iCORPSE, which can create highly active promoters within a gene sequence while not perturbing the function of the modified gene.

synthetic biology↗

Plaque Size Tool: an automated plaque analysis tool for simplifying and standardising bacteriophage plaque morphology measurements

Bacteriophage plaque size measurement is essential for phage characterisation, but their manual size estimation requires a considerable amount of time and effort. In order to ease the work of phage researchers, we have developed an automated command-line application called Plaque Size Tool (PST) that can detect plaques of different morphology on the images of Petri dishes and measure plaque area and diameter. Plaque size measurements using PST showed no difference to those obtained with manual plaque size measurement in Fiji, indicating future results using PST are backwards compatible with prior measurements in the literature. PST can be applied to a range of lytic bacteriophages producing oval-shaped plaques, including bulls-eye morphology. The application can also be used for titer calculation if most of the plaques are stand-alone. As laboratory automation becomes more commonplace, standardised and flexible open-source analytical tools like PST will be important parts of biofoundry and cloud lab bacteriophage workflows.

microbiology↗