ChemMedChem

Metastatic melanoma is an aggressive cutaneous malignancy frequently driven by the oncogenic V600E mutation within the BRAF kinase. While first-generation Type IS BRAF inhibitors, such as dabrafenib, are currently prescribed to target this specific molecular vulnerability, paradoxical MAPK pathway activation, and acquired drug resistance necessitate the continuous development of structurally optimized lead molecules. In this study, chemical intuition, bioisosteric replacement, and computational molecular docking were employed to propose two novel BRAFV600E drug candidates. The proposed therapeutics, engineered to incorporate constrained sp3-hybridized aliphatic rings and a sulfoximine bioisostere, demonstrated thermodynamically superior docking scores within the mutant catalytic cleft compared to dabrafenib. Lastly, a homology analysis determined that Mus musculus is a suitable model organism for future preclinical studies and confirmed crucial structural selectivity against microbial off-target kinases.

Dengue Virus Serotype 2 is a human pathogenic flavivirus that encodes a non-structural protein 3 (DEN2-NS3) containing a helicase domain essential for viral replication. DEN2-NS3 utilizes energy derived from NTP hydrolysis to unwind dsRNA and dsDNA. A galloylated catechin, (-)-epigallocatechin gallate (EGCG), was previously reported to be highly potent against the Zika Virus NS3 helicase, with an IC50 value observed at 295.7 nM. This prompted an investigation to determine if three catechins, namely, (-)-epigallocatechin (EGC), (-)-epicatechin gallate (ECG), and EGCG, would act as potent inhibitors of DEN2-NS3. Enzyme-inhibition assays revealed that the helicase catalytic domain, DEN2-NS3(S171-K618), is strongly inhibited by these galloylated catechins. We observed Ki values of 400 {+/-} 86.6 nM for EGCG (mixed-mode inhibition with respect to ATP) and 550 {+/-} 250 nM for ECG (uncompetitive inhibition with respect to ATP). Furthermore, using a computational workflow starting with SiteMap, we provide evidence that a highly druggable pocket exists within the RNA-binding cavity, involving residues ASP290, ARG387, ASP409, MET429, HIS487, ASP541, ARG599, and ASP603. These catechins were each analyzed through 200-ns molecular dynamics (MD) simulations to evaluate the binding stability within the target DEN2-NS3 binding pocket. Computational results revealed that EGCG and ECG maintained high stability, forming shared, highly persistent amino acid contacts (>45% occupancy) with ASP603, ARG599, ASP541, and ARG387. In conclusion, we have demonstrated that EGCG and ECG achieve strong binding and allosteric disruption of the critical RNA-binding channel. We suggest that future structural optimization of these compounds into stable prodrug derivatives could yield promising antiviral therapies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=99 SRC="FIGDIR/small/733882v1_ufig1.gif" ALT="Figure 1"> View larger version (41K): org.highwire.dtl.DTLVardef@2db363org.highwire.dtl.DTLVardef@5c2fdaorg.highwire.dtl.DTLVardef@49bf8eorg.highwire.dtl.DTLVardef@1bf31f1_HPS_FORMAT_FIGEXP M_FIG C_FIG

Targeting viral macrodomains (Mac) has emerged as a promising strategy for antiviral drug development, especially after the outbreak of COVID-19 that claimed millions of lives worldwide. Several severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Mac1 inhibitors have been reported in the past few years. In the present work, we converted GS-441524 (IC50 of [~]10 M for SARS-CoV-2 Mac1) to KP-S54 (18c), a potent inhibitor of both SARS-CoV-2 Mac1 (IC50: 44 nM) and Middle East respiratory syndrome coronavirus (MERS-CoV) Mac1 (IC50: 91 nM) through an iterative direct-to-biology approach. This approach leverages efficient amide-coupling reaction and the mix-and-read fluorescence polarization (FP) assays where reaction mixtures could be screened directly without purification. Cocrystal structure of a selected derivative (12p) binding to SARS-CoV-2 Mac1 revealed the binding mode, which will guide future drug development against viral macrodomains.

Structure-based drug discovery is known to apply computational methods in a tiered hierarchy, with each layer narrowing the candidate set and refining the binding picture before committing to the next, more expensive step. We present a four-tiered computational benchmarking study evaluating five engines against a panel of 36 compounds targeting B-secretase 1 (BACE1), a validated Alzheimer's disease target with extensive co-crystal ground truth. This study evaluates Flexible Docking and Boltz2 Cofolding as the primary tier, followed by Ensemble Docking, and then Protein-Ligand MD with MM/PBSA and MM/GBSA post-processing. This is then concluded with Relative Binding Free Energy Perturbation (RevFEP) as the terminal refinement layer. Each method was benchmarked against the experimental binding free energies derived from the co-crystal structures spanning -7.85 to -11.35 kcal/mol. Our findings revealed that Flexible Docking reproduced the co-crystal binding mode for 35 of 36 ligands (97.2% within 2.0 A RMSD) but did not rank potency at this resolution. Boltz2 CoFolding provided an orthogonal structural cross-check with a receptor backbone RMSD of 0.293 A against the experimental co-crystal structure. Ensemble Docking identified the optimal receptor conformation for downstream FEP setup. MD with MM/GBSA decomposition identified van der Waals complementarity as the primary potency driver (Pearson r = +0.855, R2 = 0.732 on a 10-compound subset). RevFEP delivered the highest affinity correlation of any method (Pearson r = +0.662, R2 = 0.438, Spearman p = +0.624, mean absolute error 1.02 kcal/mol across all 36 ligands), resolving potency differences within a narrow 3.5 kcal/mol congeneric window that no other engine could discriminate. We characterize what each engine contributes independently and where RevFEP delivers signals no other engine achieves.

"Mirror life", self-replicating organisms composed of non-natural-chirality biomacromolecules, presents a future threat with potentially global consequences. Consequently, there is strong agreement among experts that it should not be created. However, there is some disagreement over how effective existing medical countermeasures might prove against mirror bacteria in the event that they were created. Here, we leverage computational chemistry methods including docking and molecular dynamics to determine the likely binding efficacy of existing antibiotics against natural and mirror bacterial protein targets. We find that most existing antibiotics fail to bind to mirror bacterial protein targets, unlike their natural-chirality targets. This suggests altered binding of current medical countermeasures, which may impact the antimicrobial activity against mirror bacteria were the latter were created.

Filovirus outbreaks caused by Ebola virus (EBOV) and Marburg virus (MARV), pose severe global health threats characterized by high rates of fatal hemorrhagic fever. While species-specific vaccines and therapeutic monoclonal antibodies are approved for Zaire ebolavirus, broadly-active therapeutics remain unavailable, leaving populations vulnerable to MARV and other pathogenic Ebola species, such as Bundibugyo (BDBV) and Sudan (SUDV) ebolaviruses. Here we report a computationally guided, infectious virus validated screening platform for the rapid discovery of broad-spectrum filovirus antivirals. By leveraging quantitative structure-activity relationship (QSAR) models, we screened 142,382 compounds in silico to prioritize 125 high-potential candidates. Subsequent dose-response and viability profiling identified 23 compounds exhibiting potent, low-micromolar pan-filovirus activity and favorable cytotoxicity profiles. Molecular docking indicates these compounds target conserved structural and functional domains--primarily the VP35 and L proteins--which may disrupt essential viral replication and immune antagonism. Furthermore, systematic combinatorial screening revealed three highly synergistic compound pairs, notably NCGC00113249-01 and NCGC00118008-01, demonstrating robust cross-species efficacy. By targeting conserved vulnerabilities across the filovirus family, this integrated in silico and in vitro pipeline provides a scalable framework to rapidly nominate and optimize synergistic therapeutic regimens against both endemic and emerging viral threats including BDBV. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=74 SRC="FIGDIR/small/737586v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@1251baorg.highwire.dtl.DTLVardef@b3a2feorg.highwire.dtl.DTLVardef@191d314org.highwire.dtl.DTLVardef@b8f710_HPS_FORMAT_FIGEXP M_FIG C_FIG

We present BoltzMol-1, a small-molecule hit discovery pipeline, centered on an optimized version of Boltz-2, explicitly adapted for prospective discovery. Reliable hit discovery that generalizes across target classes (rather than only the well-characterized families that dominate existing ligand data) would broaden the range of biology accessible to small-molecule intervention and reduce reliance on resource-intensive high-throughput screening. Towards this goal, the system prioritizes compounds for rapid experimental validation by coupling model-driven ranking with streamlined procurement from commercial catalogs. To improve developability at the point of selection, we introduce a suite of ADMET models for kinetic solubility (logS), lipophilicity (logD), and Caco-2 permeability. These models act as an early triage layer, systematically filtering out compounds with unfavorable physicochemical and absorption properties prior to synthesis or purchase. Across a panel of ten targets (most with no representation in the underlying affinity training data) we observe strong prospective performance on challenging systems. Functional actives or binders were identified for 6 of 10 targets, despite modest experimental budgets of 28-96 compounds per target. These results include successes on receptors and enzymes traditionally considered difficult for structure- or ligand-based approaches. Collectively, this work establishes a practical framework for low-throughput, cost constrained discovery campaigns capable of delivering chemically tractable binders with favorable property profiles.

Aldehyde dehydrogenases (ALDH) are enzymes that catalyze the NAD(P)+-dependent oxidation of aldehydes into carboxylic acids, playing roles in detoxification, biosynthesis, and regulatory functions. Dysfunction of ALDH is associated with serious conditions such as alcohol intolerance, cancer, cardiovascular problems, and neurological disorders. In humans, ALDH1A1 and ALDH1A3 isoforms act as retinaldehyde dehydrogenases and are overexpressed in various cancers, where high levels are associated with increased tumor malignancy, cancer stem cell traits, and therapeutic resistance. ALDH1A3 is recognized as a promising target for anticancer therapies, with several inhibitors, mainly reversible, developed to specifically target it or the enzyme family. Since ALDH enzymes can also display esterase activity, we used this property to develop an in vitro assay specifically targeting the esterase function of ALDH1A3. A highly conserved active-site cysteine in ALDH1A3 is located at the bottom of two converging channels, which define the substrate- and cofactor-binding pockets. To target this catalytic cysteine, we screened a library of 3,200 cysteine-focused covalent fragments. This led to the identification of Z3405279217 (Z34), an acrylamide-based covalent compound that inhibits both ALDH1A1 and ALDH1A3 at sub-micromolar levels. Biochemical and biophysical tests confirmed that Z34 acts as a time-dependent, covalent, and irreversible binder to the active-site cysteine. In this work, we determined the Cryo-EM structure of the ALDH1A3-Z34 complex at 2.26 [A] resolution, confirming the covalent attachment to the catalytic cysteine of Z34. Notably, two mutually exclusive covalent binding modes were observed: one occupying the substrate-binding pocket and the other the cofactor-binding region. Z34 displayed unexpected binding modes within the active site and holds promise as a lead compound for future drug development. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=184 HEIGHT=200 SRC="FIGDIR/small/738401v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@982d1forg.highwire.dtl.DTLVardef@ba86f2org.highwire.dtl.DTLVardef@1f19f2borg.highwire.dtl.DTLVardef@8e807_HPS_FORMAT_FIGEXP M_FIG C_FIG

Small molecule inhibitors of cell death have wide-ranging potential applications, both as tool compounds in the laboratory and as clinical modulators of pathologic cell death. Previous screening efforts have identified candidate compounds targeting the pro-apoptotic, pore-forming BCL-2 family proteins BAX and BAK, but the complex interactions of these proteins at the mitochondrial outer membrane (with other proteins and the membrane itself) present challenges for compound screening. Although no inhibitors of BAX or BAK have advanced to clinical testing to date, candidate inhibitors have thus far been identified via screening of membrane-containing systems such as liposomes and isolated mitochondria. To address some of the challenges of chemical screening for apoptosis inhibitors, we conducted a small molecule screen utilizing BH3 profiling, a method that quantifies mitochondrial outer membrane permeabilization (MOMP) upon treatment with pro-apoptotic peptides derived from BCL-2 family proteins. Of over 40,000 compounds screened, we identified a series of compounds that prevent MOMP in response to pro-apoptotic peptides. The most potent of these, CDL36, binds to BAX and prevents MOMP at early timepoints. In longer term viability assays, the cytoprotective effect of CDL36 is most potent against death induced by doxorubicin, a widely used chemotherapeutic agent that causes dose-limiting cardiovascular toxicity. Our results elucidate the mechanism of action of new and existing cell death inhibitors, providing a foundation for further development of these inhibitors and potential insights into the mechanisms mediating doxorubicin toxicity in patients.

Cell penetrating thyclotides (CPTs) are synthetic molecules that promote highly efficient cellular uptake and endosomal escape of bioactive peptides. While peptides are valuable as medicinal agents, their translation to therapies is often limited by their inability to cross cell membranes. CPTs have a unique combination of chiral tetrahydrofurans and polar sidechains within a molecular scaffold that can be optimized to efficiently deliver peptide cargo into cells. The cellular uptake and endosomal escape of two peptides with anticancer biological activities but low bioavailabilities were remarkably improved after conjugation to a CPT. Using CPTs to overcome barriers to cellular uptake represents a new direction for the intracellular delivery of bioactive molecules, and will accelerate drug development for new medical therapies.

The cysteine to serine mutation at residue 481 of Bruton's tyrosine kinase (BTK) is the most common mechanism of clinical resistance against ibrutinib for the treatment of mantle cell lymphoma and chronic lymphocytic leukemia. We report small molecule ligands containing chiral {beta}-lactone electrophiles to address this challenge. The asymmetric warhead enabled stereoselective covalent modification of wild-type and ibrutinib-resistant mutant BTK(C481S) through distinct sites of reactivity. Building on these findings, we developed kinase-directed {beta}-lactone probes and demonstrated that individual enantiomers preferentially engage distinct subsets of the kinome. These studies establish {beta}-lactones as stereochemically encodable covalent warheads whose stereochemistry can serve as a selectivity filter in covalent drug discovery.

Targeting kinase ATP-binding sites has produced many successful therapeutics, but selectivity remains a major challenge. We hypothesised that substrate-recognition surfaces could provide an alternative route to selective kinase inhibition. Here, we designed and tested structure-guided miniprotein inhibitors of Aurora-A using N-Myc as a template, a natural weak binder of the P+1 pocket. The most potent designs bind Aurora-A with single-digit nanomolar affinity, more than a thousand fold higher than the starting template, and selectively inhibit Aurora-A over Aurora-B in kinase assays and mitotic cells. Despite diverse architectures, successful binders targeting the substrate-recognition surface converged on a common strategy, coupling extensive engagement of the G helix with activation loop stabilisation. Together these results show that selective kinase inhibition can be achieved by exploiting structurally well-defined active-state conformations rather than kinase-specific inactive states. Our work establishes a framework for converting weak substrate-recognition surface interactors into potent, selective kinase inhibitors through structure-guided protein design.

Vodobatinib (VBN) is a weakly basic (pKa {approx} 2.3), anticancer treatment with poor enteric solubility and low oral bioavailability. This study demonstrates how an emerging polymeric amorphization technique, slurry conversion, can yield amorphous drug-polymer salts with enhanced dissolution rates. The technique had not previously been applied to a weakly basic drug, so design rules for this class of active were unknown. Two acidic polymers, poly(styrene sulfonic acid) (PSSA) and poly(acrylic acid) (PAA), were individually evaluated for salt formation with VBN. Formulation involved blending the drug and polymer in a 1:2 (v/v) ratio of a protic liquid to solvent and a 1:9 (w/w) ratio of solid to solvent. Design rules for effective combinations of solvents and protic liquids were developed and optimized to thread the needle between dissolution of all species and acid-base interactions, both of which were required to form amorphous salts. Drug loadings of 10%, 20%, and 40% by mass were tested. X-ray photoelectron spectroscopy was employed to evaluate protonation of the quinoline nitrogen atoms on VBN, a key indicator of successful salt formation. Powder X-ray diffraction was used to confirm that the resulting slurry contained amorphous VBN, and 1H NMR spectroscopy indicated residual solvent remained after drying, which remains an area for improvement. In dissolution kinetics tests in FeSSIF, the lead drug-polymer salt formulation achieved a concentration of dissolved VBN up to 140 {micro}g/mL, an improvement of >35-fold compared to <4 {micro}g/mL (LLD) for crystalline VBN. These results demonstrate that slurry conversion is a viable polymeric amorphization technique even for weakly basic drugs. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=148 SRC="FIGDIR/small/734800v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@1812ceforg.highwire.dtl.DTLVardef@1ad06dcorg.highwire.dtl.DTLVardef@9d8bb7org.highwire.dtl.DTLVardef@13fcbe8_HPS_FORMAT_FIGEXP M_FIG C_FIG

Heparin, a naturally derived glycosaminoglycan, is the most commonly used anti-thromboembolic in the world. However, the biological origin of heparin inherently results in batch-to-batch variability, large dispersity indexes, and potential contamination, leading to inconsistent activity and patient-dependent dose-response. As such, new synthetic anticoagulants are of keen interest, particularly those that mimic heparin while being amenable to alterations in polymer structure and composition for performance optimization. Herein, we report the strategy, synthesis, and evaluation of well-defined, regioselectively functionalized di-sulfated polyamidosaccharides (disulPASs) including exploration of the structure-function relationship of molecular weight and sulfation density on anticoagulant activity. Polymerization of an orthogonally protected beta-lactam monomer via anionic ring-opening, followed by selective deprotection and sulfation reactions affords disulPAS. Similar to heparin, disulPASs elongate clotting time through the intrinsic and extrinsic pathways, showing molecular weight and dose-dependent responses in clotting time; are non-cytotoxic and non-hemolytic, partially neutralized by protamine sulfate, and unlike heparin, are not degraded by heparinases. As compared to less sulfated and randomly sulfated iterations of PAS, disulPAS performs superiorly, with in vitro and in vivo clotting activity most similar to native heparin.

IntroductionIn this study, we developed a modular in vitro platform that integrates advanced polymer-drug conjugation chemistry with stepwise cytotoxicity screening in both 2D (monolayer) and 3D (spheroids) glioblastoma (GBM) models. Buparlisib was selected as the model therapeutic due to its well-characterised mechanism of action, high blood-brain barrier permeability, and relevance to PI3K-targeted therapy. MethodsTwo mechanistically distinct conjugation strategies were explored using N-(2-hydroxypropyl)methacrylamide-based copolymers. The first strategy was based on a redox-sensitive disulphide linkage designed for intracellular glutathione-triggered release, whereas the second used an azide-bearing derivative compatible with strain-promoted azide-alkyne cycloaddition. Drug release was assessed by high-performance liquid chromatography. Biological activity was systematically evaluated in U87MG, U118MG, and T98G cells under 2D conditions using a resazurin-based metabolic activity assay. Subsequently, the more promising disulphide-based formulations were assessed in 3D spheroids by metabolic activity measurements and live-cell monitoring of spheroid growth dynamics. ResultsFree Buparlisib showed the strongest inhibitory effect, while its modification and polymer conjugation reduced the apparent activity. Nevertheless, the disulphide-based derivative and polymer conjugate retained concentration-dependent activity, whereas the azide-based polymer conjugate showed minimal effects. Moreover, treatment responses differed between cell lines and between 2D and 3D models. DiscussionOverall, linker chemistry, cell-line-specific behaviour, and model dimensionality strongly influenced the biological performance of the polymeric Buparlisib formulations. The redox-sensitive polymer conjugate therefore represents the more promising strategy for further development.

Discovering small molecules targeting proteins represents a major effort in drug development. RNA, however, as a class of macromolecule that carrying out important regulatory roles in the cell as drug target, only received attention recently. Although several methods have been proposed, an easy to operate, fast and robust method is still lacking. We designed a generic florescence screening method by fusing the target RNA with a florescent aptamer (fusion RNA) and then carried out screening using high-throughput format (Fluorescent Aptamer Screening, FAS). In this work, we chose SL5 on SARS-Cov-2 5’UTR as the test target. SL5 is a conserved motif across several corona virus family members whose core is not prone to mutation. We screened 9528 compounds, successfully identified four molecules (Sertraline (hydrochloride), Samuraciclib (hydrochloride), Minocycline (hydrochloride), JG-98 bind direct to the full-length SL5 at micromolar or higher affinity. The design of FAS could be easily adapted to structured RNA motifs without prior knowledge of its 3D structural information. In addition, this work showed the possibility of developing generic drugs for RNA virus by targeting the conserved viral RNA genome and paved a new way for the discovery of small molecule drugs in combating human diseases.

Inducible nitric oxide synthase (iNOS) is frequently overexpressed in inflammatory disorders and solid tumors, where sustained nitric oxide (NO) production promotes angiogenesis, tumor progression, and resistance to therapy. Despite promising preclinical results, the clinical translation of iNOS inhibitors remains limited by poor tumor selectivity, rapid systemic clearance, and off-target toxicities. To address these challenges, we developed a protease-responsive polymeric iNOS-inhibiting prodrug (ProCIP) designed for localized activation within protease-rich pathological microenvironments. ProCIP was synthesized from poly(ethylene glycol)-poly(L-glutamate) and functionalized with amidine-based iNOS inhibitory moieties. The resulting cationic polymer readily formed nanoscale polyionic complexes with anionic polymers or molecules. In cell-free assays, enzymatic activation of ProCIP resulted in a significant reduction in iNOS activity, whereas non-activated nanoparticles showed minimal inhibition. Cellular studies confirmed efficient nanoparticle uptake by RAW264.7 macrophages and revealed a significant reduction in intracellular NO levels in lipopolysaccharide-stimulated cells. These findings demonstrate that ProCIP enables protease-triggered iNOS inhibition and localized NO regulation, offering a promising strategy for improving the safety and efficacy of iNOS-targeted therapies in cancer and other inflammatory diseases.

Pyrrolizidine alkaloids (PA) are well-known and widespread natural products from plants, which have also been identified in several different bacteria. In the latter case, the core structure is constructed by a non-ribosomal peptide synthetase (NRPS), which then undergoes oxidative ring contraction catalyzed by a Baeyer-Villiger monooxygenase. By deploying various NRPS engineering strategies, we have successfully generated five novel peptides carrying the unusual PA moiety at their C-terminus. Nonetheless, efforts to obtain a larger library of PAs were unsuccessful. Combined computational modelling and docking experiments suggest that this failure stems from the strict specificity of the thioesterase (TE) domain at the end of the NRPS, which discriminates against peptides carrying more than two amino acids. Our work thus suggests protein design strategies by which this intrinsic limitation to NRPS engineering may be overcome in future.

Predicting blood-brain barrier (BBB) penetration remains a central challenge in CNS drug discovery. Existing computational models rely on physicochemical descriptors and are blind to active transport biology - the efflux pumps and carrier proteins that dominate drug exclusion at the BBB in vivo. We present BBB-Nuke, a modular prediction pipeline that integrates physicochemical scoring with explicit efflux transporter substrate modeling. The system computes ten molecular descriptors, predicts ionization state via a graph convolutional network, scores CNS-MPO desirability, and estimates substrate probability for seven efflux transporters (P-gp/MDR1, BCRP/ABCG2, MRP1, MRP2, MRP4, MATE1, OAT3) using Random Forest classifiers trained on curated ChEMBL bioactivity data. A gradient-boosted classifier trained on 67 features - ten physicochemical, seven efflux transporter probabilities, and fifty fingerprint-derived principal components - achieves an area under the receiver operating characteristic curve (AUROC) of 0.933 {+/-} 0.006 under five-fold cross-validation on 9,262 labeled compounds, and 0.810 on a fully held-out benchmark of 470 clinically validated compounds. In head-to-head comparisons, BBB-Nuke outperforms CNS-MPO, LightBBB, ADMETlab 2.0, and BBB-Score on both cross-validation and external test sets. We apply the pipeline to screen over one billion commercially available compounds from the Enamine REAL library and PubChem, identifying enriched regions of BBB-penetrant chemical space and characterizing the structural features that distinguish permeable from excluded molecules. BBB-Nuke is freely available as a Python package, REST API, and Model Context Protocol server.

Liquid crystalline mesophases exhibit structurally programmable internal architectures that enable co-loading of chemically orthogonal molecules within a single composite material. Realizing the potential of these materials for drug delivery requires a quantitative understanding of how tuning the composition affects internal mesophase architecture and consequently performance metrics such as payload release. Here, Flash NanoPrecipitation with hydrophobic ion pairing is used to prepare nanocarriers containing liquid crystalline mesophases co-encapsulating two compounds from widely different chemical classes: hydrophilic polymyxin B (logP -6) with one of four hydrophobic co-core materials (logP 7-11), achieving >75% encapsulation efficiency and up to 32% and 50% mass loadings for polymyxin and co-core. Synchrotron SAXS is used to quantify characteristic mesophase repeat spacing, which is found to be tunable as a function of composition. A strong correlation between d-spacing and polymyxin release rate is presented. Co-core chemistry and weight fraction jointly govern mesophase architecture, and repeat distance emerges as a structural metric linking these to the hydrophilic payload release kinetics. Mucus diffusivity and antibacterial efficacy are assessed as independent performance metrics, and results corroborate the release behavior. These findings establish a quantitative framework connecting material composition, mesophase architecture, and functional performance that can be applied toward rational co-formulation design. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=86 SRC="FIGDIR/small/734853v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@1d722eborg.highwire.dtl.DTLVardef@135adb7org.highwire.dtl.DTLVardef@11fe29eorg.highwire.dtl.DTLVardef@571165_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOToC Graphic TextC_FLOATNO Flash NanoPrecipitation yields liquid crystalline nanocarriers co-encapsulating with high efficiency payloads with widely distinct physicochemical properties. Synchrotron SAXS establishes characteristic repeat spacing as a quantitative structural metric directly governing hydrophilic release kinetics, providing a rational design framework linking mesophase architecture to functional performance across a range of payload structures. C_FIG