Chemical Science

The functional role of biomolecular condensates is shaped by the composition of constituent proteins, nucleic acids, ions, and small molecules. Selective partitioning of small molecules into condensates has therefore emerged as a potential route to condensate-specific chemical probes and therapeutics. Although partitioning is influenced by differences in solvation environments between coexisting dense and dilute phases, a molecular framework connecting small-molecule structure to condensate-specific enrichment remains lacking. Here, we use existing experimental partitioning data for a library of FDA-approved drugs and metabolites across four biomolecular condensates to develop an interpretable graph-based model of small-molecule partitioning. By combining multitask pretraining, condensate-specific fine-tuning, evidential uncertainty quantification, and atom-level attribution analysis, our model predicts continuous partition coefficients with improved accuracy over descriptor-based approaches. Atom-level attributions reveal that condensate partitioning is not governed by a universal chemical rule: the same molecular scaffold can be read differently by distinct condensate environments, with local atomic context and connectivity determining whether specific atoms promote or suppress enrichment. We further apply the trained model to ~1.7 million drug-like molecules from ChEMBL, identifying a chemically diverse space of predicted condensate-selective partitioners and mapping regions where predictions are confident versus where new measurements would be most informative. Together, this work establishes condensate partitioning as a chemically learnable property shaped by the interplay between small-molecule structure and condensate-specific microenvironments, providing an interpretable and uncertainty-aware framework for defining molecular determinants of partitioning and guiding the discovery of condensate-selective small molecules.

Apolipoprotein E (APOE) and Triggering Receptor Expressed on Myeloid cells 2 (TREM2) are the two strongest genetic risk factors of late-onset Alzheimers disease. ApoE binds to the low-density lipoprotein receptor (LDLR) to facilitate the uptake of ApoE-lipoprotein particles. TREM2 is a cell surface receptor expressed on microglia in the brain. The activation of TREM2 is essential for microglia to carry out protective functions against AD pathology. Several studies have shown that TREM2 signaling is activated through direct interaction between TREM2 and ApoE. In addition to its important role in AD pathogenesis, the ApoE/TREM2 interaction has been shown to induce immunosuppression of neutrophils within the tumor microenvironment. Despite its clinical importance, a high-resolution molecular understanding of the complex remains elusive. Here, we carried out chemical cross-linking mass spectrometry (XL-MS) analysis of the ApoE3/TREM2ECD complex to identify intra- and inter-protein cross-links, which were used as restraints to guide integrative protein-protein docking. Our data support a binding model in which a helix-loop-helix motif within the ApoE3 hinge and C-terminal region forms a transient hydrophobic pocket that wraps around the hydrophobic tip of the TREM2 ectodomain. This model is further supported by de novo-designed mini-protein binders, which show the same binding mode as identified by our XL-MS experiment. These results establish a robust framework for developing mini-protein-based TREM2 agonists.

The inhibition of A{beta}42 ({beta}-amyloid) fibril formation is a key therapeutic strategy in Alzheimer's disease research. Paddlewheel diruthenium complexes have shown promising activity against A{beta}42 aggregation and preformed fibril disaggregation, yet their molecular mode of action remains poorly understood. In this work, we perform atomistic simulations to explore how charge modulation influences the interactions of three analogous paddlewheel diruthenium complexes, the parent neutral complex [Ru2Cl(D-p-FPhF)(O2CCH3)3], and its anionic [Ru2Cl2(D-p-FPhF)(O2CCH3)3]- and cationic [Ru2(D-p-FPhF)(O2CCH3)3]+ counterparts (D-p-FPhF- is the N,N' -bis(4-fluorophenyl)formamidinato ligand) with A{beta}42. Our results indicate that electrostatic tuning governs binding affinity and the extent of interaction across the A{beta}42 fibril surface. As the complexes' charge changes from -1 to +1, the interaction pattern shifts from localized contacts to widespread, multi-site engagement encompassing key charged, aromatic, and hydrophobic regions of A{beta}42. This enhanced binding correlates with longer-lived, thermodynamically stable interactions at the fibril interface, which effectively lower the free energy penalty for fibril disassembly. Overall, our findings propose a mechanism in which charge-dependent activation through ligand exchange enhances fibril recognition and promotes disruptive binding modes, demonstrating the potential of charge-tunable diruthenium complexes as therapeutic modulators of A{beta}42 fibril stability.

Protein labelling by covalent attachment of a specific substrate to a self-labelling protein tag has become a regular in the life sciences. Herein, we report the design of a two-component labelling system, comprised of a non-fluorescent difluorinated xanthene, called F2X, and a HaloTag mutant engineered for targeted reactivity towards F2X. Upon primary covalent locking of the ligand at the canonical aspartate residue, two proximal lysine residues located at the protein surface can undergo nucleophilic aromatic substitution with the F2X core, building a fluorescent rhodamine via triple-covalent fusion. We used a generalizable in silico pipeline for heuristic conformational sampling of covalent protein-ligand complexes to find suitable mutation sites, culminating in the curation of 7 double-lysine HaloTag mutants for targeted in vitro testing. Reaction with the best-performing mutant, HTPL161K_Q165K, is characterized by full protein mass spectrometry, fluorescence polarization fluorescence lifetime, and fluorescence anisotropy and rationalized by computational modelling. We showcase the system in single molecule microscopy, where obviation of post-labelling purification is a prime advantage when targeting recombinant proteins that may not be expressed in larger quantities, and employ F2X in living cells with reduced photobleaching. Lastly, a cell-impermeable version was obtained by means of sulfonation, exclusively targeting extracellularly exposed HTPKK fused to the neuromodulatory G protein-coupled receptor metabotropic glutamate receptor 2.

In a recent study of a mice model it was suggested that after myocardial infarction Serum Amyloid A (SAA) aggregates are formed that contribute to the long-term complications of the infarct, and that a similar mechanism may exist for humans. Motivated by this hypothesis we have designed four peptide candidates that may interfere with formation of SAA3 fibrils, and using all-atom molecular dynamics have evaluated their ability to destabilize SAA fibrils. As the lifetime of peptide drugs can be increased by replacing L-amino acids with their mirror D-amino acids, we have built the peptides from D-amino acids. We identify two of these peptides, DRI-R5S and DRI-H6A, as promising drug candidates.

Ligand binding to intrinsically disordered proteins resists description in terms of conventional binding pockets, yet it can be analysed as a dynamic process in which ligands move across transient surface interaction sites. Here we characterise a pathway-based representation in which ligand binding is described as a sequence of transitions between residue-defined microstates, enabling ligand-specific effects to be distinguished from intrinsic properties of the peptide conformational ensemble. Using all-atom molecular dynamics simulations of A{beta}42 and the C-terminal region of -synuclein in complex with chemically diverse small molecules, we construct transition matrices that encode ligand movement across the peptide surface and use Markov state models to identify dominant binding pathways and relative binding propensities. Pairwise enrichment-factor and AUC analyses reveal strong conservation of the highest-ranked pathways across chemically diverse ligands, with enrichment factors of 15-45 for the top-ranked states and AUC values typically [≥]0.75, well above random expectation. These dominant pathways are also preserved across changes in pH and temperature, whereas a urea control, included as a non-specific binder, shows reduced enrichment, indicating that ligands primarily modulate pathway weights rather than define the underlying network topology. Ensemble docking across chemically diverse libraries further supports the presence of recurrent ligand-accessible hotspots within the peptide conformational ensemble. Building on this framework, we apply a prospective screening pipeline to A{beta}42, combining MSM-derived hotspots with sequence-based Ligand-Transformer scoring and Gnina docking across 1.66 million compounds, to nominate 19 candidates for prospective experimental evaluation. Together, these results indicate that disordered protein sequences give rise to conformational ensembles that exhibit characteristic binding pathways for small molecules.

Serotonin is a key neurotransmitter, and aptamer-based tools using the 44 nt Apt44 have been successfully developed for its in vitro and in vivo detection. Nevertheless, the structural basis of recognition by this aptamer remains unclear. Here we report high resolution NMR structures of Apt38, a 6-nt truncated variant in the third loop of Apt44, in free and serotonin-bound states. Both structures reveal a two layered antiparallel chair type G quadruplex core with three edgewise loops and a terminal duplex, forming a G quadruplex duplex hybrid structure. Serotonin binds at the G quadruplex duplex junction, stabilized by stacking, electrostatic attraction, hydrogen bonding, and hydrophobic contacts. Apt38 is preorganized for binding, whereas the longer third loop of Apt44 introduces conformational dynamics into the G quadruplex scaffold, which enables a pronounced binding triggered conformational switch in PBS buffer, explaining its sensing mechanism. Our work reveals the recognition and sensing mechanism of the serotonin aptamer and provides a framework for aptamer design in serotonin biosensing.

We report here a method for the chemical synthesis of Fmocprotected -hydroxyglyine (-OH-Gly) dipeptides. Our method features operational simplicity and is compatible with protecting groups for peptide synthesis. Utility is then demonstrated through substitution at the -OH-Gly position to yield myriad non-natural amino acid-containing dipeptide fragments.

The development of small synthetic catalytic peptides, or "catalytides," offers a promising therapeutic strategy for the targeted degradation of amyloid-beta (A{beta}). Among these, the pentapeptide SKGQA mimics the proteolytic activity of serine proteases despite its minimal size. However, the molecular mechanism enabling such a short peptide to achieve effective cleavage at multiple sites remains unclear. In this study, we utilized HADDOCK docking and molecular dynamics (MD) simulations to investigate the interaction between SKGQA and the A{beta}(17-42) region. Our results demonstrate that SKGQA operates through a highly dynamic process, where the substrate serves as a scaffold to stabilize "serine protease-like" active geometries from a flexible conformational ensemble. We identified distinct "stable binding" and "stochastic attack" modes, explaining the peptides ability to facilitate both high-probability and multi-site cleavage. Given its minimal size, SKGQA may also benefit from enhanced accessibility to dense amyloid environments compared to larger proteases. These findings provide a fundamental understanding of minimal enzymatic function and offer a transformative platform for designing next-generation, cost-effective catalytides.

-Synuclein (S), a protein that plays a central role in Parkinsons disease and related synucleinopathies, is an intrinsically disordered protein (IDP) whose functional interactions and aggregation behavior can be strongly influenced by post-translational modifications (PTMs). Phosphorylation, acetylation, and other PTMs regulate Ss interactions with lipid membranes and binding partners, whereas their dysregulation is associated with aggregation and neuronal toxicity. Despite significant progress through chemical and semi-synthetic approaches, investigating the combinatorial effects of PTMs has remained challenging due to the lack of accessible, site-specific methods. Here, we present an integrated strategy combining genetic code expansion, enzymatic modification, and intein-mediated click chemistry to generate S variants bearing multiple defined PTMs and a C-terminal fluorescent label. The resulting constructs enable direct evaluation of how individual and combined PTMs influence S structure, lipid binding, and cellular internalization. Our approach expands the molecular toolkit for dissecting PTM crosstalk in S and other aggregation-prone IDPs, advancing mechanistic understanding and supporting the development of therapeutic strategies for neurodegenerative disease.

Discovering functional peptides across vast sequence space remains a formidable challenge, particularly when experimental training data is scarce. We present Minimal Data Maximal Insight (MDMI), a two-stage structure-guided computational pipeline that designs functional peptide variants using only a small, annotated dataset. Rather than relying on sequence information alone, MDMI integrates three-dimensional structural features derived from predicted peptide-protein complexes into a machine learning model that captures interface geometry and binding energetics. This structure-aware predictor, paired with a genetic algorithm for sequence exploration, reduced false positives from 70% to close to zero in an all-negative benchmark panel compared with a sequence-only model in computational benchmarking, and produced approximately four-fold more high-confidence in silico binders than state-of-the-art peptide/protein design baselines. Using the split-GFP system as a testbed, where fluorescence provides a direct functional readout of peptide-protein complementation, MDMI identified peptides with up to 38% sequence divergence from wild-type in Stage 1 while retaining measurable activity. In Stage 2, motif-guided recombination of successful Stage 1 variants produced highly divergent yet functional peptides bearing over 50% sequence difference from wild-type, revealing two distinct functional clusters in sequence space. As further validation, a top-performing candidate expressed as a full-length GFP fusion retained a GFP-like emission profile, supporting formation of a fluorescent GFP-like scaffold. These results demonstrate that structure-informed pipelines can uncover remote functional sequence space from minimal data, with broad implications for peptide and therapeutic analog discovery.

"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.

Biocatalytic metal-containing clusters are nanometer-sized chemical reactors that enable enzymes to perform chemistry far beyond what would be possible with amino acids alone 1,2. These clusters display a remarkable variability3 and elucidating their exact mechanisms is often difficult to determine, requiring input from a multitude of techniques ranging from spectroscopic to structural and theoretical methods. Thus, for unknown clusters, it is essential to accumulate, collate, and interpret as much information as possible from every relevant technique available. Here we report the discovery and in-depth, interdisciplinary characterization of an entirely novel, [Cu-4Fe-4S] cluster in the protein acetol dehydrogenase (AceDH). AceDH, isolated directly from Methylacidiphilum fumariolicum SolV cells, catalyzed the oxidation of acetol to methylglyoxal, proving its role in the 2-propanol/acetone metabolism of methanotrophs4-6. Structural, spectroscopic and electrochemical analyses reveal the [Cu-4Fe-4S] cluster has a unique three-dimensional- and electronic structure involving electronic coupling between the copper and one of the iron atoms, likely contributing to its high, +275 mV, redox potential. The binding site for the novel cluster is composed of two protein subunits and involves a novel motif. These findings expand the known repertoire of biological metal cofactors and provide insight into how heterometallic clusters are adapted for biological processes.

Modern protein design methods based on deep learning allow generation of customized protein scaffolds with diverse geometries and functionalities. Here, we capitalize on these recent advances to develop hyper-thermostable de novo CO2 reductases featuring a cobalt porphyrin IX cofactor (CoPPIX). CoPPIX containing enzymes were assembled in vivo through media supplementation with cobalt salts and assessed for photocatalytic CO2 reductase activity. We identified two cysteine-ligated designs that exhibit high activity (>1000 turnovers at rates of up to 25 min-1) while suppressing competing hydrogen evolution pathways. A 2.1 [A] crystal structure shows close agreement to the design model with the Co-Cys bond programmed as intended. This study showcases the power of computational protein design in developing artificial enzymes to activate challenging molecules such as CO2.

The incorporation of non-canonical amino acids (ncAAs) into proteins, developed in the past 20 years, has opened new avenues with respect to protein structure, protein modification, protein-protein interaction or enzyme catalysis beyond what is possible with the 20 proteinogenic AAs. Although >300 unusual building blocks including several ncAAs have been described in nonribosomal peptides (NRPs) naturally, we aimed to further expand the scope of the underlying nonribosomal peptide synthetases (NRPS) to incorporate ncAAs beyond the naturally available ones. We have therefore systematically screened for ncAA accepting NRPS systems, applied NRPS engineering to transfer the respective ncAA-accepting parts into other NRPSs and thereby created novel peptides that were further derivatized in post-enzymatic chemical synthesis reactions directly in bacterial culture extracts. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=177 SRC="FIGDIR/small/738027v1_ufig1.gif" ALT="Figure 1"> View larger version (38K): org.highwire.dtl.DTLVardef@90552forg.highwire.dtl.DTLVardef@1c8a5e0org.highwire.dtl.DTLVardef@2549dorg.highwire.dtl.DTLVardef@1012911_HPS_FORMAT_FIGEXP M_FIG C_FIG

Antibiotic resistance in Mycobacterium tuberculosis is a pressing global health challenge demanding new therapeutic strategies. The bacterial respiratory chain comprises promising antibacterial targets, with dual inhibition of the terminal oxidases cytochrome bcc:aa3 and cytochrome bd (cyt bd) showing bactericidal activity. While bcc:aa3 inhibitors such as Q203 have advanced clinically, cyt bd remains underexplored due to difficulties in assigning activity of the purified enzyme and structurally resolving the quinol substrate binding site. Here, we report a rapid in vitro screening platform for cyt bd inhibitors by engineering a minimal respiratory system that couples the activity of cyt bd to that of a type 2 NADH dehydrogenase. This coupled assay enables spectroscopic monitoring of NADH oxidation as a proxy for cyt bd activity, allowing rapid screening of over 10,000 compounds. Screening identified WSL017, a fragment with low micromolar potency against both M. tuberculosis and E. coli cyt bd. Kinetic and structural analyses revealed competitive inhibition at the quinol-binding site, providing the first structural insights into cyt bd inhibition by a non-quinone scaffold. WSL017 displayed growth inhibition of M. tuberculosis H37ra, corroborating oxidase inhibition as a promising therapeutic strategy. This work establishes a pipeline for cyt bd inhibitor discovery and highlights new opportunities for structure-guided drug development against cytochrome bd oxidases.

L-DOPA is a key therapeutic agent for Parkinsons disease, with growing demand due to global population aging. Here we report that heme-dependent tyrosine hydroxylase (TyrH) can utilize an ascorbate/O2 system--as an alternative to H2O2--to synthesize L-DOPA with markedly enhanced operational stability. While exogenous H2O2 rapidly inactivates TyrH within minutes, sodium ascorbate (NaAsc) enables sustained catalysis for up to 24 h, surpassing the H2O2-driven yield after only 30 min. UV-vis spectroscopy confirms that H2O2 readily degrades the heme center, whereas the heme remains intact in the presence of NaAsc. QM/MM simulations reveal that in situ generated H2O2 leads to the active species of Compound I for tyrosine hydroxylation. Through systematic optimization, we establish efficient reaction conditions (40 {micro}M TyrH, 1 mM L-Tyr, 100 mM NaAsc, pH 8.5, 40 {degrees}C), achieving >95% conversion of L-Tyr to L-DOPA within 2 h. This work not only provides a robust and sustainable biocatalytic route for L-DOPA production but also highlights the broader applicability of the ascorbate/O2 pathway in heme-enzyme catalysis.

Precisely modifying proteins at multiple sites in their native, folded structures offers unique opportunities to answer molecular and cellular-level biological questions. Here, we present a genetic code expansion strategy for site-specific integration of a fluorophore-quencher pair comprising two non-canonical amino acids--acridonylalanine (Acd) and methyltetrazinyl phenylalanine (Tet) -- into a protein expressed in E. coli. The Acd and Tet pair requires no post-translational labeling, and quenching can be switched off by biorthogonal or photochemical reactions of Tet for convenient internal control experiments. Mechanistic studies based on Stern-Volmer quenching, fluorescence lifetime measurements, and "proline ruler" peptides established the distance dependence of quenching. As proof-of-concept, we applied this strategy to study: 1) calmodulin, a calcium-sensing protein, 2) RecA, a DNA damage sensor in bacteria, and 3) LexA, a transcriptional repressor whose activation by RecA governs acquired antibiotic resistance in bacteria. Using these proteins, we demonstrate that dual Acd/Tet labeling provides molecular-level insights into protein dynamics, enables high-throughput drug screening, and advances tools for studying protein structure-function relationships.

Developing enzymatic mechanisms for C-F bond formation remains a long-standing challenge. Here, we repurposed the biosynthetic nonheme Fe enzyme EgtB, which features a three-histidine facial triad, to catalyze C(sp3)-H fluorination reactions. Directed evolution of EgtB afforded two new-to-nature fluorine atom transferases with opposite enantiopreference, EgtBCHF1 and EgtBCHF2, with up to 28-fold improved total activity. In contrast to our previously evolved nonheme Fe fluorine atom transfer biocatalyst ACCOCHF, which contains a two-histidine-one-carboxylate facial triad, the evolved EgtBCHF variants displayed unexpected hydroxylation activity. 18O-labeling experiments showed that the hydroxy group originated from water rather than residual O2. Computational studies suggested that the three-histidine-supported Fe(III) center exhibits enhanced Lewis acidity compared to the two-histidine-one-carboxylate system, allowing deprotonation of Fe(III)-bound water to form a Fe(III)-OH species to catalyze radical hydroxylation. Primary coordination-sphere mutagenesis in EgtB and ACCO further supported the critical role of Fe coordination chemistry in controlling radical rebound reactivity and selectivity. Computational studies revealed that Fe coordination chemistry strongly influences both fluorine atom abstraction and radical rebound, with the intrinsic C-X (X = F, OH, and N3) bond forming radical rebound preference following the order N3 > OH > F. Furthermore, multivariate linear regression analysis revealed that fluorine atom abstraction is primarily governed by the intrinsic Fe-F bond strength, whereas fluorine rebound is predominantly controlled by the electronic structure of the Fe(III) intermediate. Together, these findings provide mechanistic insights into nonheme Fe enzymology and reprogramming toward selective radical rebound reactions, including challenging C-H fluorination. Table of Contents (TOC) O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/737789v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1ad85b2org.highwire.dtl.DTLVardef@1248bd4org.highwire.dtl.DTLVardef@58268dorg.highwire.dtl.DTLVardef@14b2da0_HPS_FORMAT_FIGEXP M_FIG C_FIG

G-quadruplex (GQ) structures within the HIV-1 long terminal repeat (LTR) regulate viral transcription and represent promising antiviral targets; however, detailed mechanistic understanding of their ligand recognition at the molecular level remains limited and has largely been investigated under dilute conditions despite the crowded and compartmentalized nature of intracellular environment. Here, we investigate the interaction of the cationic porphyrin TMPyP4 with the HIV-1 LTR-III GQ under dilute conditions and inside protein-rich phase-separated condensates that mimic intracellular biocondensates. Steady-state and time-resolved fluorescence measurements reveal a dual binding behavior that is not discernible from absorption spectroscopy. A high-affinity guanine-rich binding mode leads to efficient fluorescence quenching through electron transfer from ground-state guanine to excited TMPyP4, whereas a weaker non-guanine binding mode gives rise to enhanced and long-lived emission. Nucleotide-specific control experiments validate the origin of these distinct binding environments. Molecular docking and molecular dynamics simulations further support preferential binding of TMPyP4 at the terminal G-quartet together with a secondary binding mode near the quadruplex-duplex junction. Importantly, both TMPyP4 and LTR-III GQ preferentially partition into the condensates, where the hybrid GQ structure, dual binding behavior, and associated excited-state signatures remain preserved despite the crowded and viscous environment. Although a slight reduction in binding affinity is observed inside the condensates, the overall binding mechanism remains largely preserved due to compensatory effects arising from the condensate microenvironment. Overall, this work demonstrates that ligand recognition of viral GQ remains preserved within protein condensates and establishes fluorescence spectroscopy as a sensitive approach for resolving hidden binding heterogeneity in GQ-ligand interactions.