Biology subjects

Lu, D.

Publications and source records attributed to Lu, D..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Decoding Helicobacter pylori Resistance: Machine Learning Enhanced Prediction of Antibiotic Susceptibility using Whole-Genome Sequencing

BackgroundHelicobacter pylori is a significant risk factor for gastric cancer, peptic ulcers, and MALT lymphoma. Rising antibiotic resistance rates complicate treatment strategies. While nucleotide sequence based assays are reliable in predicting clarithromycin and levofloxacin resistance, predicting metronidazole resistance is more challenging due to diverse metabolic pathways contributing to resistance, and high genomic variability. MethodsWe assembled a cohort of 483 H. pylori clinical isolates, combining whole-genome sequencing with phenotypic susceptibility testing. Machine learning models (SVM, XGBoost, FNN) were trained on genomic variants to predict resistance phenotypes. A sliding-window approach and SHAP-based importance scoring were used for feature selection to identify biologically relevant mutations, improving prediction accuracy, particularly for metronidazole resistance. ResultsThe best-performing FNN model improved metronidazole resistance prediction by 16% compared to conventional (non-ML, single polymorphisms) sequence-based detection methods applied to the same strain collection. Feature selection identified 32 feature sets, with 11 sets significantly improving F1-scores over the baseline. Combining 2-4 feature sets revealed 53 synergistic combinations across all models. Validation showed that 87% of these combinations significantly outperformed non-ML molecular testing, with 16 combinations achieving F1-scores above 0.65. ConclusionMachine-learning can significantly improve the performance of sequence-based susceptibility testing for metronidazole in H. pylori. Novel candidate predictive markers identified from whole-genome data offer testable hypotheses about yet unexplored mechanisms of metronidazole resistance. These findings support the potential for ML-based approaches to enable more accurate susceptibility-guided therapies.

microbiology↗

bioRxiv2025

Systematic identification of pan-cancer single-gene expression biomarkers in drug high-throughput screens

Precision oncology relies on molecular biomarkers to stratify patients into responders and non-responders to a given treatment. Although gene expression profiles have historically been explored for biomarker discovery, fewer studies investigated single-gene expression biomarkers. Additionally, many approaches are limited to cancer type-specific associations, which constrain statistical power. To address these limitations, we developed a regression-based framework that corrects for tissue-specific biases and enhances detection of pan-cancer single-gene expression biomarkers of drug sensitivity in cancer cell line high-throughput drug screens. Our method maintains predictive performance post-correction, and successfully recovers established biomarkers, such as SLFN11 expression for DNA damaging agents. Notably, we identified SPRY4 and NES expression as biomarkers of sensitivity for compounds targeting ERK/MAPK signaling (adjusted p-value=4.016x10- and 7.221x10-, respectively). This approach offers a scalable strategy for biomarker discovery and holds potential for translation to more complex biological models and patient-derived datasets. Ultimately, pan-cancer single-gene expression biomarkers may improve patient stratification and clinical outcomes in precision oncology.

cancer biology↗

bioRxiv2025

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes

Malaria is a leading cause of disease in developing countries. The licensed malaria vaccine RTS,S/AS01 confers partial protection in part due to the elicitation of circumsporozoite protein (CSP) antibodies, of which those to the CSP repeat and junctional regions offer the most potent protection. Anti-repeat region antibodies, including the protective antibody L9, frequently develop mutations that promote inter-Fab contacts when bound to CSP in "spiral" quaternary structures. As a first step toward the design of immunogens that elicit L9-like antibodies, we utilized generative deep learning models to design epitope-scaffolds that incorporated up to three junctional repeat epitopes with structural conformations and relative spatial orientations matching those of the multivalent complex of CSP bound to three copies of L9. Affinity and structural studies demonstrated accurate scaffolding of two epitopes with the intended relative orientation, and less accurate positioning of the third epitope. This study demonstrates proof of principle for design of multi-epitope scaffolds with pre-determined relative epitope spatial positioning. The study also represents an initial step toward development of multi-epitope immunogens to elicit antibodies that utilize homotypic interactions to bind pathogen in multivalent clusters.

immunology↗

bioRxiv2025

Hierarchical Coordination of Polymerase Theta and RAD51 Resolves Clustered Replication Fork Collapse

The essential role of polymerase theta (Pol{theta})-mediated end joining (TMEJ), an alternative double strand break repair pathway, has been primarily studied in homologous recombination (HR)-deficient contexts(1, 2). Here, we uncover an indispensable role for TMEJ in HR-proficient mammalian cells during the repair of interstrand crosslinks (ICLs). We show that Pol{theta} is recruited downstream of canonical ICL repair steps--including ICL unhooking, RAD51 loading, and RAD51 ubiquitylation--and localizes to sites of unresolved HR through interactions with ubiquitylated RAD51 filaments. Using genomic scar profiling and targeted ICL repair assays, we find that TMEJ resolves a minor subset of lesions that are not amenable to HR repair, such as clustered ICLs that can induce two-ended replication fork collapse. These findings reveal a RAD51 ubiquitylation-dependent mechanism for Pol{theta} recruitment and establish TMEJ as a hierarchically deployed DNA repair pathway that safeguards genome stability when HR is insufficient to resolve replication-associated DNA damage. Short SummaryPol{theta} is recruited via RAD51 ubiquitylation to resolve clustered ICLs that generate HR-refractory replication fork collapse.

cell biology↗

bioRxiv2025

Neural Onset and Offset Responses in Core and Belt Auditory Cortex of Young and Aged Alert Macaque Monkeys

Age-related hearing loss is a ubiquitous malady in the geriatric population, yet the underlying neural mechanisms remain incompletely understood. We compared onset and offset responses of single neurons in the primary (A1), rostral (R), and caudolateral (CL) areas of the auditory cortex using spectral, spatial, and temporal stimuli in a young macaque monkey with normal-hearing and an aged macaque monkey with high frequency hearing loss. In the young monkey, core areas exhibited a significantly higher proportion of neurons responsive to both the onset and the offset of stimuli compared to the belt area CL, indicating functional differentiation. However, this distinction diminished with age, with the proportion of neurons with both onset and offset responses becoming more uniform across cortical areas. Onset firing rates were generally higher in the aged monkey, but with a lower signal-to-noise ratio, suggesting increased neural excitability but reduced response fidelity. Notably, CL neurons in the aged monkey exhibited a significantly greater disparity between the best frequencies for onset and offset responses, suggesting reduced spectral precision. Additionally, spectral tuning bandwidths (BW) were broader in the CL neurons in the aged monkey, while in the young monkey, A1 neurons exhibited significantly narrower onset BWs compared to offset BWs, a distinction that was lost in the aged monkey. These findings highlight a fundamental asymmetry in auditory cortical processing and suggest that belt area CL is particularly susceptible to age-related changes. Understanding these neural mechanisms provides insights into auditory aging and potential strategies for mitigating hearing deficits. New and NoteworthyThis study finds that there are significant differences in the temporal fidelity of auditory cortical neuronal responses as a function of natural aging, particularly in the belt cortical field CL compared to core areas A1 and R. These differences are stimulus dependent and are consistent with known auditory processing deficits in geriatric human subjects.

neuroscience↗

bioRxiv2025

Structural insights into VRC01-class bnAb precursors with diverse light chains elicited in the IAVI G001 human vaccine trial

The development of germline-targeting vaccines represents a potentially transformative strategy to elicit broadly neutralizing antibodies (bnAbs) against HIV and other antigenically diverse pathogens. Here, we report on structural characterization of vaccine-elicited VRC01-class bnAb precursors in the IAVI G001 Phase 1 clinical trial with the eOD-GT8 60mer nanoparticle as immunogen. High-resolution X-ray structures of eOD-GT8 monomer complexed with Fabs of five VRC01-class bnAb precursors with >90% germline identity revealed a conserved mode of binding to the HIV CD4-binding site (CD4bs) via IGHV1-2-encoded heavy chains, mirroring mature bnAb interactions. The light-chain V-gene diversity emulated VRC01 bnAbs and stabilized antigen engagement, while their conserved five-residue LCDR3 motifs prevented steric clashes. Notably, the VRC01-class bnAb precursors accommodated the N276 glycan, a key barrier in HIV Env recognition, through structural rearrangements in HCDR3 or LCDR1, despite its absence in the immunogen. Surface Plasmon Resonance (SPR) analysis showed that 87% of elicited antibodies retained glycan binding capacity, albeit with reduced affinity. These findings validate the ability of eOD-GT8 60mer nanoparticles to prime VRC01-class bnAb precursors with native-like paratopes but with intrinsic glycan adaptability. Structural mimicry of mature bnAbs was observed even with limited somatic hypermutation, indicating that critical features are encoded in the germline repertoire. The structures highlight how germline-encoded features drive bnAb-like recognition at early stages. This work provides molecular evidence supporting germline-targeting in humans and provides guidance for designing booster immunogens to shepherd affinity maturation toward broad neutralization.

immunology↗

bioRxiv2025

Virus glycoprotein nanodisc platform for vaccine design

Transmembrane glycoproteins of enveloped viruses are the targets of neutralizing antibodies and essential vaccine antigens. mRNA-LNP technology allows in situ production of transmembrane glycoproteins upon immunization, but biophysical characterization of transmembrane antigens and in vitro analysis of post-immunization antibody responses typically rely on soluble proteins. Here, we present a methodological platform for assembling transmembrane glycoprotein vaccine candidates into lipid nanodiscs. We demonstrate the utility of the nanodiscs in HIV membrane proximal external region (MPER)-targeting vaccine development by binding assays using surface plasmon resonance (SPR), ex vivo B cell sorting with fluorescence-activated cell sorting (FACS), and by determining the structure of a prototypical HIV MPER-targeting immunogen nanodisc in complex with three broadly neutralizing antibodies (bnAbs), including the MPER bnAb 10E8, to 3.5 [A] by cryogenic electron microscopy (cryo-EM), providing a template for structure-based immunogen design for MPER. Overall, the platform offers a tool for accelerating the development of next-generation viral vaccines.

immunology↗

bioRxiv2025

One Tracer, Dual Platforms: Unlocking Versatility of Fluorescent Probes in TR-FRET and NanoBRET Target Engagement Assays

Target engagement assays are essential for drug discovery, utilizing Time-Resolved Fluorescence Resonance Energy Transfer (TR-FRET) and Nano Bioluminescence Resonance Energy Transfer (NanoBRET) as complementary methods for biochemical and cellular evaluation. Traditional platforms require distinct fluorescent tracers, increasing costs and complexity. This study systematically evaluates the cross-platform performance of T2-BODIPY-FL and T2-BODIPY-589, tracers developed for receptor-interacting protein kinase 1 (RIPK1) target engagement in TR-FRET and NanoBRET applications, respectively. Our results demonstrate both tracers effectively bridge biochemical and cellular assays, providing reliable measurements. T2-BODIPY-589 demonstrates superior performance in NanoBRET (Z up to 0.80) and acceptable functionality in TR-FRET (Z=0.53). Conversely, T2-BODIPY-FL performs optimally in TR-FRET (Z=0.57) and exhibits NanoBRET potential (Z up to 0.72). Competition assays with an unlabeled inhibitor yielded consistent binding constants across all combinations. These findings suggest a single tracer can integrate diverse assay platforms, enhancing consistency and comparability in drug discovery. Table of Content Graphic O_FIG O_LINKSMALLFIG WIDTH=198 HEIGHT=200 SRC="FIGDIR/small/645143v2_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1cad1eforg.highwire.dtl.DTLVardef@9ccef0org.highwire.dtl.DTLVardef@d611c1org.highwire.dtl.DTLVardef@279f90_HPS_FORMAT_FIGEXP M_FIG C_FIG

pharmacology and toxicology↗

bioRxiv2025

Spermatogonia derived RpS13 non-autonomously regulates the cyst cell differentiation via Rho1-mediated adhesion junctions in Drosophila testis

ObjectiveIn the testis of Drosophila, spermatogonia transit-amplification (TA) divisions are necessary for germline proliferation and differentiation. Both the germline and the surrounding somatic cyst cells (SCCs) have a significant influence on these processes. However, the underlying mechanism is largely unknown. MethodsFlies were used to generate tissue-specific gene knockdown. Immunofluorescence was used to determine protein localization and expression pattern. Small interfering RNAs were used to knockdown genes in S2 cells. qRT-PCR was used to examine the relative mRNA expression level. ResultsOur findings indicate that spermatogonial RpS13 regulates cyst cell growth through a non-autonomous manner. In terms of mechanism, RpS13 may regulate the adhesion junctions of the soma-germline via the DE-cad and Arm proteins in addition to dpERK, which is found in SCCs. Interestingly, Rho1 and RpS13 mutually inhibit each other in Drosophila S2 cells. Additionally, Rho1 controlled cell adhesions that rely on DE-cad, Arm, and dpERK and imitated the actions of RpS13 in Drosophila testis. ConclusionAll of these findings implied that during spermatogonia TA-divisions in the testis of Drosophila, RpS13 regulates the development of cyst cells via Rho1-mediated adhesion junctions.

developmental biology↗

bioRxiv2025

Basic-Leucine-Zipper Transcription Factors Regulate Selective Molecular Phenotypes in Regulatory T Cells During IL-2-Induced Activation

Regulatory T (Treg) cells have long been recognized as modulators of immunological tolerance and homeostasis. Previously, we used scRNA-seq to reveal significant Treg heterogeneity in response to IL-2-induced activation. Herein, we leveraged enrichment analyses, as well as bulk and single-nucleus multi-omics in splenic and lung Tregs, to uncover and confirm the importance of transcription factors (TFs) and chromatin remodeling in Treg activation. Multiple bZIP TF motifs showed increased chromatin accessibility post IL-2 treatment, with correlated transcriptional changes resembling Th1 and Th2 molecular phenotypes, further confirmed by spatial ATAC-seq. By combining gene perturbation and CUT&RUN assays before and after Treg stimulation, we show that bZIP TFs, such as BATF and BACH1, are critical to IL-2-induced Treg activation, coordinating epigenetic and transcriptional changes that selectively drive T-helper phenotypes and metabolic pathways.

genomics↗

bioRxiv2025

A cell-type specific surveillance complex represses cryptic promoters during differentiation in an adult stem cell lineage

Regulators of chromatin accessibility play key roles in cell fate transitions, triggering onset of novel transcription programs as cells differentiate. In the Drosophila male germ line stem cell lineage, tMAC, a master regulator of spermatocyte differentiation that binds thousands of loci, is required for local opening of chromatin, allowing activation of spermatocyte-specific promoters. Here we show that a cell-type specific surveillance system involving the multiple zinc finger protein Kmg and the pipsqueak domain protein Dany dampens transcriptional output from weak tMAC dependent promoters and blocks tMAC binding at thousands of additional cryptic promoters, thus preventing massive expression of aberrant protein-coding transcripts. ChIP-seq showed Kmg enriched at the tMAC-bound promoters it repressed, consistent with direct action. In contrast, Kmg and Dany did not repress highly expressed tMAC dependent genes, where they colocalized with their binding partner, the chromatin modeler Mi-2 (NuRD), along the transcribed regions rather than at the promoter. Mi-2 has been shown to preferentially bind RNA over chromatin (Ullah et al. 2022). We propose that at highly expressed genes binding of Mi-2 to the abundant nascent RNA pulls the Kmg/Dany complex away from promoters, providing a mechanism to effectively repress ectopic promoters while protecting robust transcription.

developmental biology↗

bioRxiv2025

Telomerase modRNA offers a novel RNA-based approach to treat human pulmonary fibrosis

Pulmonary Fibrosis (PF) is a life-threatening illness that is characterized by progressive scarring in the lung interstitium. There is an urgent need for new PF therapies because current treatments only slow down the progression of fibrosis and the median life expectancy post-diagnosis is only 4 to 6 years. Since PF patients frequently exhibit telomere attrition, overexpressing telomerase, the enzyme responsible for synthesizing telomeres represents a compelling therapeutic option. In this study, we in vitro transcribed human telomerase reverse transcriptase (hTERT) mRNA using modified nucleosides (modRNA). ModRNA hTERT treatment led to transient activation of telomerase activity in a dose-dependent manner in MRC-5 cells and, importantly, in primary human alveolar type II pneumocytes (ATII cells). Consequently, the proliferative capacity was increased, concomitant with reduced DNA damage and elongated telomere length. Notably, induction of cellular immune response was only detectable at the highest modRNA concentration, and returned to normal levels within 48 hours. Next, we demonstrated that circularized, exonuclease-resistant modRNA hTERT extended the transient expression profile which may be clinically advantageous. Finally, we provided therapeutic proof of concept in organotypic 3D ex vivo human precision-cut lung slices derived from end-stage PF patients. Intriguingly, a single modRNA hTERT treatment inhibited senescence as indicated by significantly lower levels of senescence-associated {beta}-galactosidase, and pro-inflammatory IL6 and IL8. Concurrently, the key fibrosis mediators TGF{beta} and COL1A1 were markedly reduced. In conclusion, the data presented herein provide initial evidence for the potential of RNA-based hTERT therapy for treating human lung fibrosis.

molecular biology↗

bioRxiv2025

DHRS7 Integrates NADP+/NADPH Redox Sensing with Inflammatory Lipid Signalling via the Oxoeicosanoid Pathway

During the innate immune response at epithelial wound sites, oxidative stress acts microbicidal and--mechanistically less well understood--as an immune and resilience signal. The reversible sulfhydryl (SH) oxidation of kinases, phosphatases, and transcription factors constitute the perhaps best-known redox signalling paradigm, whereas mechanisms that transduce metabolic redox cues, such as redox cofactor balance, remain little explored. Here, using mammalian cells, microsomes, and live zebrafish, we identify DHRS7, a short-chain fatty acid dehydrogenase/reductase (SDR), as conserved, 5-hydroxyeicosanoid dehydrogenase (5-HEDH). Under oxidative stress, DHRS7 consumes NADP+ to convert arachidonic acid (AA)-derived 5(S)-HETE into the inflammatory lipid 5-KETE, which activates leukocyte chemotaxis via the OXER1 receptor. While Dhrs7 acts as a NADPH-dependent 5-KETE sink in unstressed, healthy tissue, it promotes rapid, 5-KETE dependent leukocytic inflammation in wounded zebrafish skin. Thus, DHRS7 epitomizes an underappreciated mode of redox signalling--beyond classic SH oxidation--that leverages NADPH metabolism to generate or quench a paracrine lipid signal. Metabolic redox sensors like DHRS7 might be promising therapeutic targets in diseases characterized by disturbed redox balance.

immunology↗

bioRxiv2025

Leopard Cats Occupied Human Settlements in China for 3,500 years before the Arrival of Domestic cats in 600-900 CE around the Tang Dynasty

The earliest cats in human settlements in China were not domestic cats (Felis catus), but native leopard cats (Prionailurus bengalensis). To trace when and how domestic cats arrived in East Asia, we analyzed 22 feline bones from 14 sites across China spanning 5,000 years. Nuclear and mitochondrial genomes revealed that leopard cats began occupying anthropogenic scenes around 5,400 years ago and last appeared in 150 CE. Following several centuries gap of archeological feline remains, the first known domestic cat (706-883 CE) in China was identified in Shaanxi during the Tang Dynasty. Genomic analysis suggested a white or partially white coat and a link to a contemporaneous domestic cat from Kazakhstan, indicating a likely dispersal route via the Silk Road. The two felids once independently occupied ancient anthropogenic environments in China but followed divergent paths and reached different destinations in human-animal interactions.

evolutionary biology↗

bioRxiv2025

Vaccination with mRNA-encoded membrane-bound HIV Envelope trimer induces neutralizing antibodies in animal models

A protective vaccine against HIV will likely need to induce broadly neutralizing antibodies (bnAbs) that engage relatively conserved epitopes on the HIV envelope glycoprotein (Env) trimer. Nearly all vaccine strategies to induce bnAbs require the use of relatively complex immunization regimens involving a series of different immunogens, most of which are Env trimers. Producing protein-based clinical material to evaluate such relatively complex regimens in humans presents major challenges in cost and time. Furthermore, immunization with HIV trimers as soluble proteins induces strong non-neutralizing responses to the trimer base, which is normally occluded on the virion. These base responses could potentially detract from the induction of nAbs and the eventual induction of bnAbs. mRNA vaccine platforms offer potential advantages over protein delivery for HIV vaccine development, including increased production speed, reduced cost, and the ability to deliver membrane-bound trimers that might facilitate improved immuno-focusing to non-base epitopes. We report the design of mRNA-delivered soluble and membrane-bound forms of a stabilized native-like Env trimer (BG505 MD39.3), initial immunogenicity evaluation in rabbits that triggered clinical evaluation, and more comprehensive evaluation of B cell, T cell, and antibody responses in non-human primates. mRNA-encoded membrane-bound Env immunization elicited reduced off-target base-directed Env responses and stronger neutralizing antibody responses, compared with mRNA-encoded soluble Env. Overall, mRNA delivery of membrane-bound Env appears promising for enhancing B cell responses to subdominant epitopes and facilitating rapid translation to clinical testing, which should assist HIV vaccine development. One Sentence SummaryHIV envelope trimer mRNA enables membrane-bound expression and represents a functional immunogen in pre-clinical mammalian models.

immunology↗

bioRxiv2024

Comprehensive analysis of macrophages infected with avirulent and virulent Mycobacterium tuberculosis uncovers distinct immune mechanisms and anti-TB effect of treated exosomes

Tuberculosis (TB) is now the worlds second deadliest infectious killer after COVID-19. Human-macrophages and their secreted exosomes play important roles in combating invading Mtb. However, the panoramic analysis of the underlying immune mechanism for the infected macrophages, package or secretion mechanism, and anti-TB effect of Mtb treated exosomes remain poorly understood. Here we conducted comprehensive analyses of the macrophages infected with avirulent and virulent Mtb (H37Ra & H37Rv) and their secreted exosomes, collected cells and corresponding exosomes for omics and phenotypic analysis. The results showed that avirulent Mtb stimulated robust immune-responses and apoptosis in macrophages to eliminate the invading Mtb; virulent Mtb induced severe necrosis and immune-escape for survival. The HMGB1 signaling pathway and TNFRSF1B plays important roles in the immune escape of virulent Mtb. Interestingly, our results suggest that macrophages kill Mtb in an IFN-{gamma} independent but simulative way, highlighting the central role of IFN signaling pathway in anti-TB immune response. Moreover, we observed selective transport of host and Mtb RNAs from macrophages to exosomes. Notably, "H37Ra-treated exosomes" displayed a higher anti-TB effect than "H37Rv-treated exosomes" due to some enriched pro-inflammation and immune-escape related Mtb proteins in these two exosomes, respectively. Conclusively, our findings shed new light on the immune mechanism of macrophages in response to Mtb infection, offering a new TB-treatment strategy and some promising vaccine candidates.

bioinformatics↗

bioRxiv2024

SubCell: Vision foundation models for microscopycapture single-cell biology

Cell morphology and subcellular protein organization provide important insights into cellular function and behavior. These cellular features can be studied using large-scale fluorescence microscopy, and machine learning has become a powerful tool to interpret the resulting images for biological insights. Here, we introduce SubCell, a deep learning model for fluorescence microscopy designed to accurately capture cellular morphology, protein localization, cellular forganization, and biological function beyond what humans can readily perceive. SubCell was trained on the proteome-wide image collection from the Human Protein Atlas with a novel proteome-aware learning objective. SubCell outperforms state-of-the-art methods across a variety of tasks relevant to single-cell biology and generalizes to other fluorescence microscopy datasets without any fine-tuning. Additionally, we construct the first proteome-wide hierarchical map of proteome organization that is directly learned from image data. This vision-based multiscale cell map defines cellular subsystems down to protein complex resolution, reveals proteins with similar functions, and distinguishes dynamic and stable behaviors within cellular compartments. Finally, combining SubCell with a protein sequence model enables a rich multimodal approach to capture gene function better than either vision-only or sequence-only models alone. In conclusion, SubCell creates deep, image-driven representations of cellular architecture that are applicable across diverse biological contexts and datasets.

cell biology↗

bioRxiv2024

ApoDock: Ligand-Conditioned Sidechain Packing for Flexible Molecular Docking

Molecular docking is a crucial technique for elucidating protein-ligand interactions. Machine learning-based docking methods offer promising advantages over traditional approaches, with significant potential for further development. However, many current machine learning-based methods face challenges in ensuring the physical plausibility of generated docking poses. Additionally, accommodating protein flexibility remains difficult for existing methods, limiting their effectiveness in real-world scenarios. Diffusion based models has already show a good solution of those problems, such as Alphafold3(AF3). Herein, we present ApoDock, a modular docking paradigm that combines machine learning-driven conditional sidechain packing based on protein backbone and ligand information with traditional sampling methods to ensure physically realistic poses. With accurate sidechain packing and physical based pose sampling, ApoDock demonstrates competitive performance across diverse applications, highlighting its potential as a valuable tool for protein-ligand binding studies and related applications.

bioinformatics↗