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Pharmacology

5
Open Unknowns
14
Cross-Domain Bridges
10
Active Hypotheses

Cross-Domain Bridges

Bridge Xenobiotic metabolism by cytochrome P450 enzymes follows Michaelis-Menten saturable kinetics v = V_max*[S]/(K_m + [S]) where each CYP isoform (CYP3A4, CYP2D6, CYP2C9) has distinct substrate specificity encoded in the active site topology, and competitive inhibition between co-administered drugs follows the Dixon equation for competitive inhibition, providing a biochemical kinetics framework for predicting drug-drug interactions

Fields: Pharmacology, Biochemistry, Chemistry

CYP450-mediated drug metabolism maps directly onto Michaelis-Menten enzyme kinetics: the metabolic rate v = V_max*[S]/(K_m + [S]) for each CYP isoform, with K_m reflecting drug-enzyme binding affinity...

Bridge Allosteric enzyme regulation follows the Monod-Wyman-Changeux (MWC) model โ€” cooperative Tโ†”R conformational equilibrium governed by the Hill equation โ€” a mathematical framework identical to cooperative binding in hemoglobin, ion channel gating, and gene expression switch behaviour.

Fields: Biochemistry, Chemistry, Molecular Biology, Biophysics, Pharmacology

ALLOSTERY DEFINITION: A ligand binding at one site changes activity at a distant active site via conformational change. Cannot be explained by direct steric blockade. MWC MODEL (Monod-Wyman-Changeux 1...

Bridge Biological secondary metabolites โ€” assembled by modular PKS and NRPS molecular assembly lines โ€” account for ~50% of approved drugs; genome mining of silent biosynthetic gene clusters in soil bacteria represents the largest untapped chemical diversity on Earth and the most promising pipeline for new antibiotic classes.

Fields: Biology, Chemistry, Pharmacology

Approximately 50% of all clinically approved drugs are natural products or their semi-synthetic derivatives (Newman & Cragg 2020). The biosynthetic logic of complex natural products uses modular enzym...

Bridge Lipid Metabolism and Cellular Signaling โ€” eicosanoids, sphingolipids, and the PI3K-PIP3-Akt axis link lipid chemistry to inflammation, survival, and cancer

Fields: Biochemistry, Cell Biology, Pharmacology, Lipid Biology, Cancer Biology

Lipids serve three distinct biological roles: structural (phospholipid bilayers), energy storage (triglycerides in adipocytes), and signalling. Eicosanoid signalling begins with phospholipase A2 relea...

Bridge Michaelis-Menten enzyme kinetics โ†” hyperbolic saturation โ€” a universal functional form across biology, chemistry, and ecology

Fields: Biochemistry, Molecular Biology, Physical Chemistry, Ecology, Pharmacology

The Michaelis-Menten equation v = V_max[S]/(K_M + [S]) describes enzyme-catalysed reaction rates via a quasi-steady-state approximation (Briggs & Haldane 1925) applied to the E + S โ‡Œ ES โ†’ E + P mechan...

Bridge General anesthesia bridges neuroscience and chemistry: volatile agents potentiate GABA-A and inhibit NMDA receptors to reliably suppress consciousness, yet the Meyer-Overton lipophilicity correlation and the hard problem of consciousness remain unresolved after 125 years.

Fields: Neuroscience, Chemistry, Pharmacology, Consciousness Science

General anesthesia requires four components: unconsciousness, amnesia, analgesia, and muscle relaxation. The chemical mechanisms are partially understood: volatile anesthetics (isoflurane, sevoflurane...

Bridge Adult hippocampal neurogenesis (~700 new neurons/day in humans) is regulated by BDNF-TrkB, VEGF, and IGF-1 signaling cascades activated by exercise โ€” providing the neurochemical mechanism for exercise antidepressant effects and SSRI-dependent neurogenesis hypothesis of depression.

Fields: Neuroscience, Chemistry, Molecular Biology, Pharmacology, Psychiatry

Adult neurogenesis โ€” the production of new neurons from neural stem cells in the adult brain โ€” occurs in two primary niches: the subgranular zone (SGZ) of the hippocampal dentate gyrus and the subvent...

Bridge Neuropeptides and Hypothalamic Control โ€” leptin, GLP-1, AgRP/POMC circuits, oxytocin, and vasopressin integrate energy homeostasis with social and reproductive behaviour

Fields: Neuroscience, Endocrinology, Biochemistry, Pharmacology, Behavioural Neuroscience

The hypothalamus integrates autonomic, endocrine, and behavioural functions through neuropeptide signalling circuits. Energy homeostasis centres on the arcuate nucleus (ARC): AgRP/NPY neurons (orexige...

Bridge Synaptic neurotransmission is governed by the physical chemistry of SNARE protein complex assembly (ฮ”G โ‰ˆ -65 kJ/mol), vesicle fusion kinetics, and receptor binding thermodynamics (K_D = k_off/k_on), providing a molecular pharmacological framework where all drug mechanisms โ€” SSRIs, antipsychotics, benzodiazepines โ€” reduce to modulation of specific binding equilibria.

Fields: Neuroscience, Chemistry, Pharmacology, Biochemistry, Molecular Biology, Medicine

Synaptic transmission is a sequence of precisely characterised physical chemistry steps. Vesicle docking/priming: SNARE complex formation between synaptobrevin (VAMP, v-SNARE on vesicle), syntaxin-1 a...

Bridge Drug resistance evolution follows paths on fitness landscapes, with the accessibility of multi-drug resistance determined by the ruggedness and sign epistasis of the landscape, connecting pharmacology to evolutionary biology through the geometry of sequence space.

Fields: Pharmacology, Evolutionary Biology, Biophysics

The set of all possible resistance mutations forms a fitness landscape in sequence space; empirical fitness landscapes for beta-lactamase (TEM-1) and HIV protease show rugged landscapes with sign epis...

Bridge Neural ODE parameterization bridges continuous-depth learning and pharmacokinetic state-space modeling for sparse therapeutic-drug monitoring.

Fields: Pharmacology, Machine Learning, Dynamical Systems

Speculative analogy (to be empirically validated): continuous-time latent dynamics learned by neural ordinary differential equations can serve as constrained surrogates for compartmental PK models whe...

Bridge Pharmacokinetics is applied ODE compartmental modeling: drug concentration-time profiles in plasma, tissue, and urine follow C(t) = ฮฃ A_i*exp(-ฮป_i*t) whose eigenvalues {ฮป_i} are the roots of the characteristic polynomial of the transfer matrix K, with pharmacokinetic parameters (clearance CL = k_10*V_c, distribution volume V_d) directly mapping to compartment rate constants

Fields: Pharmacology, Mathematics, Biomedical Engineering

A two-compartment pharmacokinetic model is a system of linear ODEs: dC_c/dt = -(k_10 + k_12)*C_c + k_21*C_p and dC_p/dt = k_12*C_c - k_21*C_p, whose solution after IV bolus is C_c(t) = A*exp(-ฮฑt) + B*...

Bridge Antibiotic combination synergy is a pharmacodynamic interaction surface: Loewe additivity and Bliss independence define the null model separating true synergy from additivity

Fields: Pharmacology, Systems Biology, Mathematics

The effect of two antibiotics A and B at concentrations (a,b) defines a 3D pharmacodynamic response surface E(a,b) over the concentration plane. Loewe additivity provides the null interaction model: i...

Bridge Pharmacoepidemiology bridges the molecular pharmacology of opioid receptor binding and the social epidemiology of the opioid crisis โ€” harm reduction policies (naloxone distribution, methadone maintenance) derive their evidence base from both mu-receptor pharmacokinetics and population-level randomized trial data.

Fields: Social Science, Chemistry, Pharmacology, Epidemiology

Pharmacoepidemiology studies drug effects at the population level, connecting molecular pharmacology to public health policy. The opioid epidemic illustrates this bridge at scale: prescription opioid ...

Open Unknowns (5)

Unknown Can pharmacodynamic interaction surfaces for antibiotic combinations be predicted from drug-target network topology before experimental measurement, and which network features are the best predictors of synergy? u-antibiotic-synergy-surfaces
Unknown Can in silico machine learning models trained on CYP450 crystal structures and metabolomics databases quantitatively predict drug metabolic stability, metabolite identity, and drug-drug interaction K_i values for novel chemical entities before first-in-human studies? u-cyp450-xenobiotic-metabolic-prediction
Unknown Can deep mutational scanning fitness landscapes measured in vitro predict the order, timing, and combination of resistance mutations that evolve clinically in patients treated with antibiotics or antivirals? u-fitness-landscape-drug-resistance-prediction
Unknown What identifiability limits arise when neural ODE PK surrogates are fit to sparse therapeutic-drug monitoring data? u-neural-ode-pk-identifiability-under-sparse-sampling
Unknown What fraction of interindividual variability in drug pharmacokinetics is attributable to CYP genetic polymorphisms versus non-genetic sources (age, disease, drug interactions, microbiome), and can multi-omics integration predict individual PK parameters more accurately than population PK models? u-pharmacokinetic-interindividual-variability

Active Hypotheses

Hypothesis General anesthetics suppress consciousness primarily by disrupting thalamocortical connectivity and slow-wave up-down state cycling, with the critical site being thalamic relay and reticular nuclei rather than cortex directly; propofol's GABAergic enhancement of thalamic reticular neurons gates cortical information integration, consistent with Global Workspace Theory predictions high
Hypothesis Antibiotic resistance evolution rate in clinical settings is primarily determined by stochastic within-host mutation-selection dynamics modulated by antibiotic pharmacokinetics and patient immune status, not simply by antibiotic exposure duration. high
Hypothesis Antibiotic pairs targeting synthetic-lethal gene pairs in E. coli essential network will show FICI < 0.5 in >80% of cases, while pairs targeting the same pathway will show FICI > 4 (antagonism) in >60% of cases high
Hypothesis The BCM sliding modification threshold ฮธ_M implements homeostatic metaplasticity in vivo, and visual cortex deprivation (monocular deprivation) lowers ฮธ_M in deprived-eye columns within 48 hours โ€” enabling adult plasticity rescue by pharmacologically reducing ฮธ_M via mGluR5 blockade or trkB agonism. high
Hypothesis The combination of daptomycin + doxycycline + cefuroxime will achieve >99% eradication of Borrelia burgdorferi persister cells (all morphological forms) in a 28-day regimen, translating the Feng et al. (2015) in vitro finding to a validated PTLDS treatment. critical
Hypothesis Sequential antibiotic cycling designed using measured collateral sensitivity networks (where resistance to drug A creates susceptibility to drug B) maintains pathogen populations in a trapped fitness valley, preventing multi-drug resistance emergence and reducing clinical resistance rates by >50% relative to concurrent combination therapy in empirically testable E. coli UTI models. high
Hypothesis Antipsychotic drugs (D2 antagonists) reduce psychotic symptoms by lowering the dopaminergic precision-weighting signal โ€” reducible to a single parameter ฯ‰_DA in the hierarchical Bayesian model โ€” and their therapeutic efficacy across patients is quantitatively predicted by the degree to which they normalise precision-weighted prediction error updating in computational task assays. high
Hypothesis CYP2D6 and CYP2C9 genotype-based dosing adjustment will reduce serious adverse drug reactions by >30% for codeine, warfarin, and tamoxifen compared to standard weight-based dosing in a prospective randomized controlled trial, with the benefit concentrated in the 7-10% of patients who are poor metabolizers high
Hypothesis Multi-frequency EIS measurements on voltage-clamped excitable cell monolayers can extract Hodgkin-Huxley channel gating parameters (g_Na, g_K, tau_m, tau_h) with accuracy comparable to patch-clamp, enabling label-free high-throughput ion channel pharmacology screening. medium
Hypothesis The rapid antidepressant effect of ketamine is mediated primarily by the metabolite (2R,6R)-hydroxynorketamine (HNK) acting through AMPA receptor potentiation and BDNF/TrkB signaling, not through NMDA receptor inhibition โ€” implying that non-dissociative AMPA-potentiating agents will reproduce the antidepressant effect without psychotomimetic side effects. high

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