Biology subjects

Reid, P. C.

Publications and source records attributed to Reid, P. C..

4 recordsLinked to original sources

bioRxiv2026

Mirror-image mRNA display uncovers isoform-selective D-peptide macrocycles targeting a cryptic KRAS pocket

Activating KRAS mutations drive millions of cancers diagnosed worldwide,1 yet for decades this oncoprotein was deemed "undruggable", reflecting the challenge of discovering molecules capable of perturbing its complex biological functions, and of translating these discoveries into effective cancer therapeutics.2 Recent advances propelled by innovative screening have identified diverse modalities that bind at or near the switch-II pocket (SII-P) of RAS proteins, including molecular glues,3 macrocyclic peptides,4 fragment-derived small molecules,5 and approved therapies that covalently target KRASG12C.6,7 Unfortunately, resistance to approved therapies has emerged,8,9 highlighting the need for molecules that engage new or underexploited binding sites on RAS oncoproteins with mechanisms complementary to established SII-P inhibitors.10,11 Here we show that mirror-image mRNA display12 enabled the discovery of all-D macrocyclic peptide ligands targeting a cryptic RAS back pocket (CRB-P).13 These ligands engage KRAS(OFF) and KRAS(ON) with equal affinity, exploit a single-residue difference among isoforms to bind KRAS selectively, and successfully inhibit oncogenic signaling in KRAS-mutant cells through a mechanism distinct from SII-P binders. Mirror-image screening directly afforded nanomolar peptide ligands stable toward cellular proteolysis and delivered probes targeting distinct epitopes not accessible by homochiral peptide-display methods. Together, these findings establish the CRB-P as a specifically druggable and mechanistically differentiated site on KRAS with potential for combination with emerging RAS-targeting therapies and substantiate mirror-image mRNA display as a strategy for discovering stable all-D macrocyclic peptides targeting previously inaccessible epitopes on challenging targets.

cancer biology↗

bioRxiv2026

A macrocyclic peptide-based fusion inhibitor targeting SARS-CoV-2 Spike S2 subunit

Continuous emergence of SARS-CoV-2 variants carrying mutations in Spike presents a significant challenge for durable antiviral agents. Here we screen for random 13-amino acid non-mimetic macrocyclic peptides that bind to Spike and identify PA-001 that inhibits SARS-CoV-2 infection with high potency at 0.23-2.9 nM as 50% inhibitory concentration (IC50). PA-001 bound to Spike S2 subunit and inhibited the membrane fusion during virus entry. Through drug-resistant selection, we revealed that PA-001 targeted the fusion peptide proximal region (FPPR) in S2, which has not been recognized as a drug target to date. Consistent with its highly conserved amino acid sequences beyond strains, PA-001 exhibited broad antiviral activity against all tested SARS-CoV-2 variants, in contrast to clinically-approved S1-targeting antibodies that lost activity to Omicron variants. PA-001 suppressed SARS-CoV-2 propagation and disease progression in mouse- and hamster-infection models, both by administration prophylactically and therapeutically. Combination therapy with remdesivir further enhanced antiviral profiles. In clinical phase-I trial, PA-001 was well-tolerated and showed high systemic exposure, with 4,300-10,300-fold concentration of IC50 as maximum plasma concentration by single administration to healthy volunteers. These evidence propose FPPR as an unexpected antiviral drug target accessible by macrocyclic peptides and identify PA-001 as a potent anti-SARS-CoV-2 fusion inhibitor.

microbiology↗

bioRxiv2020

Novel inhibitors of E. coli lipoprotein diacylglyceryl transferase are insensitive to resistance caused by lpp deletion

Lipoprotein diacylglyceryl transferase (Lgt) catalyzes the first step in the biogenesis of Gram-negative bacterial lipoproteins which play crucial roles in bacterial growth and pathogenesis. We demonstrate that Lgt depletion in a clinical uropathogenic Escherichia coli strain leads to permeabilization of the outer membrane and increased sensitivity to serum killing and antibiotics. Importantly, we identify the first ever described Lgt inhibitors that potently inhibit Lgt biochemical activity in vitro and are bactericidal against wild-type Acinetobacter baumannii and E. coli strains. Unlike inhibition of other steps in lipoprotein biosynthesis, deletion of the major outer membrane lipoprotein, lpp, is not sufficient to rescue growth after Lgt depletion or provide resistance to Lgt inhibitors. Our data validate Lgt as a novel druggable antibacterial target and suggest that inhibition of Lgt may not be sensitive to one of the most common resistance mechanisms that invalidate inhibitors of downstream steps of bacterial lipoprotein biosynthesis and transport.

microbiology↗

bioRxiv2019

Copulas reveal complex and informative dependencies propagating throughout ecology

All branches of ecology study relationships among and between environmental and biological variables. However, standard approaches to studying such relationships, based on correlation and regression, provide only a small slice of the complex information contained in the relationships. Other statistical approaches exist that provide a complete description of relationships between variables, based on the concept of the copula; they are applied in finance, neuroscience and other fields, but rarely in ecology. We here explore the concepts that underpin copulas and examine the potential for those concepts to improve our understanding of ecology. We find that informative copula structure in dependencies between variables is common across all the environmental, species-trait, phenological, population, community, and ecosystem functioning datasets we considered. Many datasets exhibited asymmetric tail associations, whereby two variables were more strongly related in their left compared to right tails, or vice versa. We describe mechanisms by which observed copula structure and asymmetric tail associations can arise in ecological data, including a Moran-like effect whereby dependence structures between environmental variables are inherited by ecological variables; and asymmetric or nonlinear influences of environments on ecological variables, such as under Liebigs law of the minimum. We also describe consequences of copula structure for ecological phenomena, including impacts on extinction risk, Taylors law, and the stability through time of ecosystem services. By documenting the importance of a complete description of dependence between variables, advancing conceptual frameworks, and demonstrating a powerful approach, we aim to encourage widespread use of copulas in ecology, which we believe can benefit the discipline.

ecology↗