Biology subjects

Brown, B. P.

Publications and source records attributed to Brown, B. P..

7 recordsLinked to original sources

bioRxiv2025

FakeRotLib: expedient non-canonical amino acid parameterization in Rosetta

Non canonical amino acids (NCAAs) occupy an important place, both in natural biology and synthetic applications. However, modeling these amino acids still lies outside the capabilities of most deep learning methods due to sparse training datasets for this task. Instead, biophysical methods such as Rosetta can excel in modeling NCAAs. We discuss the various aspects of parameterizing a NCAA for use in Rosetta, identifying rotamer distribution modeling as one of the most impactful factors of NCAA parameterization on Rosetta performance. To this end, we also present FakeRotLib, a method which uses statistical fitting of small molecule conformer to create rotamer distributions. We find that FakeRotLib outperforms existing methods in a fraction of the time and is able to parameterize NCAA types previously unmodeled by Rosetta.

bioinformatics↗

bioRxiv2023

Approximating conformational Boltzmann distributions with AlphaFold2 predictions

Protein dynamics are intimately tied to biological function and can enable processes such as signal transduction, enzyme catalysis, and molecular recognition. The relative free energies of conformations that contribute to these functional equilibria are evolved for the physiology of the organism. Despite the importance of these equilibria for understanding biological function and developing treatments for disease, the computational and experimental methods capable of quantifying them are limited to systems of modest size. Here, we demonstrate that AlphaFold2 contact distance distributions can approximate conformational Boltzmann distributions, which we evaluate through examination of the joint probability distributions of inter-residue contact distances along functionally relevant collective variables of several protein systems. Further, we show that contact distance probability distributions generated by AlphaFold2 are sensitive to points mutations thus AF2 can predict the structural effects of mutations in some systems. We anticipate that our approach will be a valuable tool to model the thermodynamics of conformational changes in large biomolecular systems.

biophysics↗

bioRxiv2022

Acquired secondary HER2 mutations enhance HER2/MAPK signaling and promote resistance to HER2 kinase inhibition in HER2-mutant breast cancer

HER2 mutations drive the growth of a subset of breast cancers and are targeted with HER2 tyrosine kinase inhibitors (TKIs) such as neratinib. However, acquired resistance is common and limits the durability of clinical responses. Most HER2-mutant breast cancers progressing on neratinib-based therapy acquire secondary mutations in HER2. Apart from the HER2T798I gatekeeper mutation, whether these secondary HER2 mutations are causal to neratinib resistance is not known. We show herein that secondary acquired HER2T862A and HER2L755S mutations promote resistance to HER2 TKIs via enhanced HER2 activation and impaired neratinib binding. While cells expressing each acquired HER2 mutation alone were sensitive to neratinib, expression of acquired double mutations enhanced HER2 signaling and reduced neratinib sensitivity in 2D and 3D assays. Computational structural modeling suggested that secondary HER2 mutations stabilize the HER2 active state and reduce neratinib binding affinity. Cells expressing double HER2 mutations exhibited resistance to most HER2 TKIs but retained sensitivity to mobocertinib and poziotinib. Double-mutant cells showed enhanced MEK/ERK signaling which was blocked by combined inhibition of HER2 and MEK, providing a potential treatment strategy to overcome resistance to HER2 TKIs in HER2-mutant breast cancer.

cancer biology↗

bioRxiv2022

Bacterial Microbiome of Foreskin Tissue: Impact of Short-course PrEP and Host Inflammation

As part of the CHAPS randomized clinical trial, we sequenced a segment of the bacterial 16S rRNA gene from foreskin tissue of 144 adolescents from South Africa and Uganda collected during surgical penile circumcision after receipt of 1 to 2 doses of placebo, emtricitabine with tenofovir disoproxil fumarate, or emtricitabine with tenofovir alafenamide. We found a large proportion of Corynebacterium in addition to other anaerobic species. Cutibacterium acnes was more abundant among participants from South Africa than Uganda, though this made no difference in surgical recovery. We did not find a difference in bacterial populations by treatment received nor bacterial taxa that were differentially abundant between participants who received placebo versus active drug. Using RNAseq libraries from foreskin tissue of the same participants, we found negative correlations between the relative abundance of bacterial taxa and the expression of genes downstream of the innate response to bacteria and regulation of the inflammatory response. When participants were divided into clusters based on bacterial community composition, two main clusters emerged which were distinguished by high and low bacterial diversity. Random forest classification showed higher expression of NFATC3 and SELENOS and lower expression of STAP1 and NLRP6 in the higher diversity group compared to the lower. Our results show no difference in the tissue microbiome of the foreskin with short-course PrEP but that bacterial taxa were largely inversely correlated with gene expression, consistent with non-inflammatory colonization. Author SummaryWe investigated the bacterial community of the foreskin of the penis. Previous studies found increased inflammation with certain anaerobic bacteria from swabs taken under the foreskin, but we found that higher relative abundances of the bacteria were correlated with lower expression of inflammatory genes. We did not find different bacteria in participants who received medicine to prevent HIV. Understanding the relationship between bacteria and inflammation in the penis will help us to understand how interventions like penile circumcision reduce the risk of acquiring sexually transmitted infections such as HIV.

microbiology↗

bioRxiv2022

Allele-specific activation, enzyme kinetics, and inhibitor sensitivities of EGFR exon 19 deletion mutations in lung cancer

Oncogenic mutations within the epidermal growth factor receptor (EGFR) are found in 15-30% of all non-small cell lung carcinomas. The term exon 19 deletion (ex19del) is collectively used to refer to more than 20 distinct genomic alterations within exon 19 that comprise the most common EGFR mutation subtype in lung cancer. Despite this heterogeneity, clinical treatment decisions are made irrespective of which EGFR ex19del variant is present within the tumor, and there is a paucity of information regarding how individual ex19del variants influence protein structure and function. Herein, we identify allele-specific functional differences among ex19del variants attributable to recurring sequence and structure motifs. We build all-atom structural models of 60 ex19del variants identified in patients and combine ~400 s of molecular dynamics simulations with biochemical and biophysical experiments to analyze three ex19del mutations (E746_A750, E746_S752>V, and L747_A750>P). We demonstrate that sequence variation in ex19del alters oncogenic cell growth, dimerization propensity, and tyrosine kinase inhibitor (TKI) sensitivity. We show that in contrast to E746_A750 and E746_S752>V, the L747_A750>P variant forms highly active ligand-independent dimers. E746_S752>V displays the least TKI sensitivity among the variants tested, which enzyme kinetic analysis and TKI inhibition experiments suggest is due to increased ATP Km relative to the common E746_A750 variant. Through these analyses, we propose an expanded framework for interpreting ex19del variants and new considerations for therapeutic intervention. SignificanceEGFR mutations are detected in approximately 30% of all lung adenocarcinomas, and the most common EGFR mutation occurring in ~50% of patients is termed "exon 19 deletion" (ex19del). Despite the existence of dozens of different genomic variants comprising what is generically referred to clinically as ex19del, clinicians currently do not distinguish between ex19del variants in considering treatment options, and the differences between ex19del variants are largely unstudied in the broader scientific community. Herein, we describe functional differences between distinct EGFR ex19del variants attributable to the structural features of each variant. These findings suggest a possible explanation for observed differences in patient outcomes stratified by ex19del subtype and reinforce the need for allele-specific considerations in clinical treatment decision making.

cancer biology↗

bioRxiv2021

Qualification of ELISA and neutralization methodologies to measure SARS-CoV-2 humoral immunity using human clinical samples

In response to the SARS-CoV-2 pandemic many vaccines have been developed and evaluated in human clinical trials. The humoral immune response magnitude, composition and efficacy of neutralizing SARS-CoV-2 are essential endpoints for these trials. Robust assays that are reproducibly precise, linear, and specific for SARS-CoV-2 antigens would be beneficial for the vaccine pipeline. In this work we describe the methodologies and clinical qualification of three SARS-CoV-2 endpoint assays. We developed and qualified Endpoint titer ELISAs for total IgG, IgG1, IgG3, IgG4, IgM and IgA to evaluate the magnitude of specific responses to the trimeric spike (S) antigen and total IgG specific to the spike receptor binding domain (RBD) of SARS-CoV-2. We also qualified a pseudovirus neutralization assay which evaluates functional antibody titers capable of inhibiting the entry and replication of a lentivirus containing the Spike antigen of SARS-CoV-2. To complete the suite of assays we qualified a plaque reduction neutralization test (PRNT) methodology using the 2019-nCoV/USA-WA1/2020 isolate of SARS-CoV-2 to assess neutralizing titers of antibodies in plasma from normal healthy donors and convalescent COVID-19 individuals.

immunology↗

bioRxiv2019

crAssphage abundance and genomic selective pressure correlate with altered bacterial abundance in the fecal microbiota of South African mother-infant dyads

crAssphages are a class of bacteriophages that are highly abundant in the human gastrointestinal tract. Accordingly, crAssphage genomes have been identified in most human fecal viral metagenome studies. However, we currently have an incomplete understanding of factors impacting the transmission frequencies of these phages between mothers and infants, and the evolutionary pressures associated with such transmissions. Here, we use metagenome sequencing of stool-associated virus-like particles to identify the prevalence of crAssphage across ten South African mother-infant dyads that are discordant for HIV infection. We report the identification of a complete 97kb crAssphage genome, parts of which are detected at variable levels across each mother-infant dyad. We observed average nucleotide sequence identities of >99% for crAssphages from related mother-infant pairs but [~]97% identities between crAssphages from unrelated mothers and infants: a finding strongly suggestive of vertical mother to infant transmission. We further analyzed patterns of nucleotide diversity across the crAssphage sequences described here, identifying particularly elevated positive selection in RNA polymerase and phage tail protein encoding genes, which we validated against a crAssphage genome from previous studies. Using 16S rRNA gene sequencing, we found that the relative abundances of Bacteroides thetaiotaomicron and Parabacteroides merdae (Order: Bacteroidales) were differentially correlated with crAssphage abundance. Together, our results reveal that crAssphages may be vertically transmitted from mothers to their infants and that hotspots of selection within crAssphage RNA polymerase and phage tail protein encoding genes are potentially mediated by interactions between crAssphages and their bacterial partners.\n\nImportancecrAssphages are an ubiquitous member of the human gut microbiome and modulate interactions with key bacterial associates within the order Bacteroidales. However, the role of this interaction in the genomic evolution of crAssphage remains unclear. Across a longitudinally sampled cohort of ten South African mother-infant dyads, we use metagenome sequencing of the fecal virome and 16S rRNA gene sequencing of the fecal bacterial microbiota to elucidate the ecological and evolutionary dynamics of these interactions. Here, we demonstrate elevated levels of crAssphage average nucleotide identity between related mother-infant dyads as compared to unrelated individuals, suggesting vertical transmission. We report strong positive selection in crAssphage RNA polymerase and phage tail protein genes. Finally, we demonstrate that crAssphage abundance is linearly correlated (P < 0.014) with the abundance of two bacterial taxa, Bacteroides thetaiotaomicron and Parabacteroides merdae. These results suggest that phage-bacterial interactions may help shape ecological and evolutionary dynamics in the gut.

microbiology↗