111 papers
Pharmacology and toxicology explore how substances interact with living systems, ranging from the development of life-saving medicines to understanding the dangers of chemical exposure. This field sits at the critical intersection of chemistry and biology, asking essential questions about how drugs work, how the body processes them, and what happens when things go wrong. It is a dynamic area where researchers constantly strive to improve patient safety while discovering new therapeutic possibilities.
At Gist.Science, we bridge the gap between complex research and public understanding by curating the latest preprints from bioRxiv in this vital category. Our team processes every new submission from bioRxiv as it appears, transforming dense scientific data into both plain-language overviews and detailed technical summaries. This ensures that whether you are a specialist or a curious reader, you can grasp the significance of these emerging findings without getting lost in jargon.
Below are the most recent pharmacology and toxicology papers from bioRxiv, each accompanied by our expert analysis to help you navigate the latest scientific breakthroughs.
This study employs a mathematical model of neuroblastoma phenotypic plasticity to demonstrate that strategically timed, multi-stage treatment cycles targeting specific cell interconversion patterns can effectively suppress tumor growth and induce stable remission.
This paper proposes a three-step workflow utilizing segmented regression on time-kill assay data to efficiently derive concentration-effect relationships and streamline the development of robust semi-mechanistic pharmacodynamic models for antibiotics, as demonstrated with colistin against *Pseudomonas aeruginosa*.
This paper resolves the stochastic-death versus individual-tolerance dilemma in GUTS modeling by proposing a 2x2 classification of hazard structures and repair kinetics, demonstrating through empirical evidence that a peak-based hazard model with saturating repair is the superior default for predicting survival under time-variable exposure.
This paper introduces a physics-constrained "Cluchagues-Marcus Framework" that incorporates local dielectric effects to restore parameter identifiability in deep-pocket oncogenic drug kinetics, demonstrating through synthetic and real-world data that anchoring the dissociation constant () resolves non-identifiability while predicting significant rate acceleration upon water exclusion in KRAS G12C and STAT3 targets.
This study reports the rational design and synthesis of non-peptidic, depeptidized boronic acid inhibitors targeting *Plasmodium falciparum* SUB1, which achieved low-nanomolar enzymatic potency through specific structural modifications but require further optimization to improve cellular permeability and blood-stage antimalarial activity.
This study demonstrates that targeted degradation of long PDE4D isoforms using the proteolysis-targeting chimera KTX-184 attenuates pathological cardiac hypertrophy by enhancing compartmentalised cAMP signalling while preserving contractile function in both rat and human cardiomyocytes.
This paper presents a high-throughput, automated human induced pluripotent stem cell (hiPSC) platform that utilizes four germ layer models to accurately identify teratogens early in drug discovery, offering a scalable and efficient alternative to traditional animal testing.
This study identifies Cn-alkylpyrones, which are produced by mammalian cells when fatty acid synthase ketoreductase domains are inhibited, as potent endogenous agonists that activate the orphan receptor GPR84 to drive pro-inflammatory signaling.
This study demonstrates that while planarians can serve as a high-throughput model for screening antiseizure medications against organophosphate-induced neurotoxicity, the efficacy of these drugs varies significantly depending on the specific proconvulsant agent and planarian species, highlighting the need to further define the underlying molecular mechanisms.
This study demonstrates that exposure to nicotine-free vape aerosol significantly reduces voluntary aerobic exercise in mice, particularly in females, revealing an overlooked fitness cost of vaping relevant to young and active users.