Structure-activity Relationship Research Articles

Medicinal Perspective of 2,4-Thiazolidinediones Derivatives: An Insight into Recent Advancements.

2,4-Thiazolidinedione derivatives represent nitrogen-containing heterocyclic compounds utilized in type 2 diabetes mellitus management. Recent advances in medicinal chemistry have unveiled diverse therapeutic potentials and structural modifications of these derivatives. This review delves into novel TZD derivatives, encompassing their synthesis, structure-activity relationships, and pharmacokinetic profiles. Various therapeutic potentials of TZDs are explored, including anticancer, antimicrobial, anti-inflammatory, antioxidant, anticonvulsant, antihyperlipidemic, anticorrosive, and antitubercular activities. Additionally, it addresses mitigating side effects associated with marketed TZD derivatives such as weight gain, oedema, fractures, and congestive heart failure in type 2 diabetes mellitus management. The review elaborates on in vivo, in vitro, and ex vivo studies supporting different biological activities, alongside predicting ADME and drug-likeness properties of TZDs. Computational studies are also integrated to elucidate binding modes and affinities of novel TZD derivatives. Furthermore, a plethora of novel TZD derivatives with varied and enhanced therapeutic potentials are presented, warranting further evaluation of their biological activities.

Leveraging new approach methodologies: ecotoxicological modelling of endocrine disrupting chemicals to Danio rerio through machine learning and toxicity studies

New approach methodologies (NAMs) offer information tailored to the intended application while reducing the use of animals. NAMs aim to develop quantitative structure-activity relationship (QSAR) and quantitive-Read-Across structure-activity relationship (q-RASAR) models to predict and categorize the acute toxicity of known and unknown endocrine-disrupting chemicals (EDCs) against zebrafish. EDCs are a diverse group of toxic substances that disrupt the endocrine system of humans and animals. The q-RASAR model was constructed and verified using validation metrics (R 2 = 0.886 and Q 2 = 0.814) which found to be more reliable model compare to QSAR model. The substructure fingerprint was well-fitted for the classification model and it was validated using 10-fold average accuracy (Q = 86.88%), specificity (Sp = 88.89%), Matthew’s correlation curve (MCC = 0.621) and receiver operating characteristics (ROC = 0.828). The dataset of unknown substances revealed that phenolphthalein (Php) exhibited a significant level of toxicity based on q-RASAR model. The docking and simulation study indicated that the computationally derived important features successfully bound to the target zebrafish sex hormone binding globulin (zfSHBG). The experimental LC50 value of 0.790 mg L−1 was very close to the predicted value of 0.763 mg L−1, which provides high confidence to the developed model.

Design, synthesis, and structure–activity relationships of oil-soluble fluorinated surfactants with fluorocarbon/hydrocarbon hybrid chain

Design, synthesis, and structure–activity relationships of oil-soluble fluorinated surfactants with fluorocarbon/hydrocarbon hybrid chain

Identification of Tunable, Environmentally Responsive Fluorogenic Dyes by High-Throughput Screening.

Small molecule dyes remain essential biological tools, yet only a handful of environmentally responsive fluorogenic small molecules are available for routine characterization of protein state. Here, we report the development and execution of a high throughput screen to identify compounds that increase in fluorescence in response to binding of lipophilic sites of proteins. This effort yielded two small molecules that potently indicate the presence of a range of common proteins and outperform common dyes in differential scanning fluorimetry experiments. Structure activity relationship studies revealed that these two scaffolds can be tuned both for their quantum yields and emission wavelengths. This work affords a straightforward framework for the discovery of new fluorophores and adds two fluorogenic probes to the toolbox for studying protein state.

Structure, Function, and Activity of Small Molecule and Peptide Inhibitors of Protein Arginine Methyltransferase 1.

Protein arginine N-methyltransferases (PRMT) are a family of S-adenosyl-l-methionine (SAM)-dependent enzymes that transfer methyl-groups to the ω-N of arginyl residues in proteins. PRMTs are involved in regulating gene expression, RNA splicing, and other activities. PRMT1 is responsible for most cellular arginine methylation, and its dysregulation is involved in many cancers. Accordingly, many groups have targeted PRMT1 using small molecules and peptide inhibitors. In this Perspective, we discuss the structure and function of selected peptide and small molecule inhibitors of PRMT1. We examine inhibitors that target the substrate arginyl peptide, SAM, or both binding sites, and the type of inhibition that results. Small molecules, and peptides that are bisubstrate, and/or PRMT transition state mimic inhibitors as well as inhibitors that alkylate PRMTs will be discussed. We define a structure-activity relationship for the aromatic/heteroaromatic N-methylethylenediamine inhibitors of PRMT1 and review current progress of PRMT1 inhibitors in clinical trials.

Phenotypic-based Discovery and Exploration of a Resorufin Scaffold with Activity against Mycobacterium Tuberculosis.

Tuberculosis remains a leading cause of death by infectious disease. The long treatment regimen and the spread of drug-resistant strains of the causative agent Mycobacterium tuberculosis (Mtb) necessitates the development of new treatment options. In a phenotypic screen, a nitrofuran-resorufin conjugate 1 was identified as a potent sub-micromolar inhibitor of whole cell Mtb. Complete loss of activity was observed for this compound in Mtb mutants affected in enzyme cofactor F420 biosynthesis (fbiC), suggesting that 1 undergoes prodrug activation in a manner similar to anti-tuberculosis prodrug pretomanid. Exploration of the structure-activity relationship led to the discovery of novel resorufin analogues that do not rely on the deazaflavin-dependent nitroreductase (Ddn) bioactivation pathway for their antimycobacterial activity. These analogues are of interest as they work through an alternative, currently unknown mechanism that may expand our chemical arsenal towards the treatment of this devastating disease.

Design, synthesis, and biological evaluation of adenosine derivatives targeting DOT1L and HAT as anti-leukemia agents

Disruptor of telomeric silencing 1-like (DOT1L) is a key hub in histone lysine methyltransferase and an attractive therapeutic target for treating hematological malignancies including acute myeloid leukemia (AML). In this study, we report the design and synthesis of a new series of adenosine derivatives as DOT1L inhibitors by accommodating a basic linker piperidine-4-ylmethyl motif to respective aryl-urea/benzimidazole scaffolds. The anti-DOT1L enzyme activity analysis demonstrated that compounds 8, 12, and 13 strongly suppressed DOT1L activity with IC50 values ranging from 0.125 to 0.408 µM among all the synthetics, and the structure–activity relationships were summarized. Moreover, compound 12 possessed relatively potent DOT1L inhibitory activity by significantly reduced histone H3 di-methylation at lysine 79 (H3K79me2) level in cells. Subsequently, all the synthetics were screened against various leukemia cell lines, indicating the DOT1L active adenosine derivatives exhibited low to moderate while compound 15 showed strong cellular inhibition despite its unsuccessful DOT1L inhibition. Therefore, acknowledging the distinctive potency of compound 15 against five different leukemia cell lines, including MLL-r (MV4-11) and non-MLL-r cell lines (HL-60, HH, K562, and KG-1), with IC50 values in the 0.45 ∼ 1.66 μM range and its mode of action was explored. Furthermore, compound 15 hindered histone acetylation, induced remarkable DNA damage, and triggered apoptosis. Importantly, normal T lymphocytes only showed moderate response to compound 15. These findings provide a basis for future studies on its potential application against AML.

Naturally Occurring Xanthones and Their Biological Implications.

Xanthones are chemical substances in higher plants, marine organisms, and lower microorganisms. The most prevalent naturally occurring sources of xanthones are those belonging to the families Caryophyllaceae, Guttiferae, and Gentianaceae. Structurally, xanthones (9H xanthan-9-one) are heterocyclic compounds with oxygen and a γ-pyrone component. They are densely packed with a two-benzene ring structure. The carbons in xanthones are numbered from their nucleus and biosynthetic construct. They have mixed shikimate-acetate (higher plants) and acetate-malonate (lower organisms) biosynthetic origins, which influence their classification. Based on the level of oxidation of the C-ring, they are classified into monomers, dimers, and heterodimers. While based on the level of oxygenation or the type of ring residue, they can be categorized into mono-, di-, tri-, tetra-, penta- and hexa-oxygenated xanthones, bis-xanthones, prenylated and related xanthones, xanthonolignoids, and other miscellaneous xanthones. This structural diversity has made xanthones exhibit considerable biological properties as promising antioxidant, antifungal, antimicrobial, and anticancer agents. Structure-activity relationship studies suggest C-1, C-3, C-6, and C-8 as the key positions that influence the biological activity of xanthones. Furthermore, the presence of functional groups, such as prenyl, hydroxyl, glycosyl, furan, and pyran, at the key positions of xanthones, may contribute to their spectrum of biological activity. The unique chemical scaffolds of xanthones, their notable biological activities, and the structure-activity relationships of some lead molecules were discussed to identify lead molecules as possible drug candidates.

The application of chemical similarity measures in an unconventional modeling framework c-RASAR along with dimensionality reduction techniques to a representative hepatotoxicity dataset

With the exponential progress in the field of cheminformatics, the conventional modeling approaches have so far been to employ supervised and unsupervised machine learning (ML) and deep learning models, utilizing the standard molecular descriptors, which represent the structural, physicochemical, and electronic properties of a particular compound. Deviating from the conventional approach, in this investigation, we have employed the classification Read-Across Structure-Activity Relationship (c-RASAR), which involves the amalgamation of the concepts of classification-based quantitative structure-activity relationship (QSAR) and Read-Across to incorporate Read-Across-derived similarity and error-based descriptors into a statistical and machine learning modeling framework. ML models developed from these RASAR descriptors use similarity-based information from the close source neighbors of a particular query compound. We have employed different classification modeling algorithms on the selected QSAR and RASAR descriptors to develop predictive models for efficient prediction of query compounds’ hepatotoxicity. The predictivity of each of these models was evaluated on a large number of test set compounds. The best-performing model was also used to screen a true external data set. The concepts of explainable AI (XAI) coupled with Read-Across were used to interpret the contributions of the RASAR descriptors in the best c-RASAR model and to explain the chemical diversity in the dataset. The application of various unsupervised dimensionality reduction techniques like t-SNE and UMAP and the supervised ARKA framework showed the usefulness of the RASAR descriptors over the selected QSAR descriptors in their ability to group similar compounds, enhancing the modelability of the dataset and efficiently identifying activity cliffs. Furthermore, the activity cliffs were also identified from Read-Across by observing the nature of compounds constituting the nearest neighbors for a particular query compound. On comparing our simple linear c-RASAR model with the previously reported models developed using the same dataset derived from the US FDA Orange Book (https://www.accessdata.fda.gov/scripts/cder/ob/index.cfm), it was observed that our model is simple, reproducible, transferable, and highly predictive. The performance of the LDA c-RASAR model on the true external set supersedes that of the previously reported work. Therefore, the present simple LDA c-RASAR model can efficiently be used to predict the hepatotoxicity of query chemicals.

Chemistry, bioactivities, structure-activity relationship, biosynthesis and metabolism of prenylated flavonoids in Moraceae plants.

Plants from Moraceae are globally popular as they represent a valuable resource with wide applications in food, health-care products, and other fields. Prenylated flavonoids are important active components in Moraceae. These compounds share a flavonoid skeleton with prenylated side chain, mostly in the form of single or multiple isoprenyl substituents and benzodimethylfuran structures. So far, nearly 400 prenylated flavonoids have been found in Moraceae, especially a large number of Diels-Alder adducts, which are characteristic components of this family. Due to their distinctive structures, diverse pharmacological properties and interesting synthesis processes, these compounds have attracted considerable attention from scientists. Herein, we review the advances in the structural characteristics, bioactivities, structure-activity relationships, biosynthesis strategies and in vivo metabolism of prenylated flavonoids in Moraceae plants, aiming at strengthening research efforts and utilization toward the great untapped potential of these unique constituents in human health.

Structure-Activity Relationship Studies of the Peptide Antibiotic Clovibactin.

Our laboratory reported the chemical synthesis and stereochemical assignment of the recently discovered peptide antibiotic clovibactin. The current paper reports an improved, gram-scale synthesis of the amino acid building block Fmoc-(2R,3R)-3-hydroxyasparagine-OH that enables structure-activity relationship studies of clovibactin. An alanine scan reveals that residues Phe1, d-Leu2, Ser4, Leu7, and Leu8 are important for antibiotic activity. The side-chain amide group of the rare d-Hyn5 residue is not essential to activity and can be replaced with a methyl group with a moderate loss of activity. An acyclic clovibactin analogue reveals that the macrolactone ring is essential to antibiotic activity. The enantiomer of clovibactin is active, albeit somewhat less so than clovibactin. A conformationally constrained clovibactin analogue retains moderate antibiotic activity, while a backbone N-methylated analogue is almost completely inactive. X-ray crystallography of these two analogues reveals that the macrolactone ring adopts a crown-like conformation that binds anions.

Inhibitory effects of flavonoids on organic cation transporter 1: Implications for food/herb-drug interactions and hepatoprotective effects

Organic cation transporter 1 (OCT1, gene symbol: SLC22A1) is mainly responsible for the hepatic uptake of various cationic drugs, closely associated with drug-induced liver injury (DILI). Screening and identifying potent OCT1 inhibitors with little toxicity in natural products is of great value in alleviating OCT1-mediated liver injury. Flavonoids, a group of polyphenols commonly found in foodstuffs and herbal products, have been reported to cause transporter-mediated food/herb-drug interactions (FDIs). Our objective was to investigate potential inhibitors of OCT1 from 96 flavonoids, evaluate the hepatoprotective effects on retrorsine-induced liver injury, and clarify the structure-activity relationships of flavonoids with OCT1. Thirteen flavonoids exhibited significant inhibition (>50%) on OCT1 in OCT1-HEK293 cells. Among them, the five strongest flavonoid inhibitors (IC50 < 10 μM), including α-naphthoflavone, apigenin, 6-hydroxyflavone, luteolin, and isosilybin markedly decreased oxaliplatin-induced cytotoxicity. In retrorsine-induced liver injury models, they also reduced alanine aminotransferase (ALT) and aspartate aminotransferase (AST) to different levels, the best of which was 6-hydroxyflavone. The pharmacophore model clarified that hydrogen bond acceptors at the 4,8,5’ position might play a vital role in the inhibitory effect of flavonoids on OCT1. Taken together, our findings would pave the way to predicting the potential risks of flavonoid-related FDIs in humans and optimizing flavonoid structure to alleviate OCT1-mediated liver injury.

Mechanism Insights into Allylic Hydroxylation versus Epoxidation of Propene Catalyzed by Model Catalyst Iron Phthalocyanine in the Presence of Hydrogen Peroxide.

High-valent metal-oxo species are key reactive intermediates in many biological and biological oxidation reactions. Herein, allylic hydroxylation (C-H) versus epoxidation (C═C) reactions of propene with a model catalyst iron phthalocyanine (FePc) in the presence of hydrogen peroxide were investigated contrastively, aiming to probe the active intermediates, structure-activity relationship, and reaction pathways. Our results showed that H2O2 as an oxygen-donor reagent can be easily decomposed on FePc to produce key active intermediates O═FePc and O═FePc═O with the energy barriers of 19.57 and 23.89 kcal/mol, respectively. In the selective oxidation of propene, O═FePc has a small preference for C═C epoxidation over C-H hydroxylation while O═FePc═O has a small preference for C-H hydroxylation. Since the electron-withdrawing O axial ligand in O═FePc═O further increases the radical character (Fe-O·) and Fe-O bond length of the iron-oxo moiety, O═FePc═O has better catalytic performance in both C═C epoxidation and C-H hydroxylation than O═FePc. Furthermore, in the whole reaction processes, the dual-hydrogen bonds between the two terminal H atoms of the alkene and allylic groups of propene and oxygen atom of the iron-oxo moiety would lead to the reaction toward C═C epoxidation while the single-hydrogen bond between the terminal H atom of the allylic group and the oxygen atom of the iron-oxo moiety would lead to the reaction toward C-H hydroxylation, implying that the weakly interacting hydrogen bonds affecting oxidation pathways also play a very important role in the regioselectivity of C═C epoxidation and C-H hydroxylation.

Synthesis, Cytotoxicity, and Quantitative Structure–Activity Relationship Studies of Alkyl Triphenylphosphonium Pinostrobin Derivatives

AbstractPinostrobin, an isolated compound from Boesenbergia rotunda, has been shown to have potent anti‐proliferation and apoptosis effects in cancer stem‐like cells. However, its hydrophobic properties reduce its bioavailability. Eight new alkyl‐TPP+ pinostrobin derivatives were synthesized and assessed for their cytotoxicity against the human HepG2 liver cancer cell line using the alamarBlue assay. All derivatives exhibited moderate cytotoxicity, with the IC50 values ranging from 38.55–101.95 μM, and were more potent than pinostrobin and pinostrobin hydrazone (IC50&gt;100 μM). Four alkyl‐TPP+ pinostrobin hydrazone amide derivatives showed more potent cytotoxicity than four alkyl‐TPP+ pinostrobin ester derivatives. QSAR analysis showed key 3D structural descriptors of TPP+‐based compounds responsible for cytotoxicity against HepG2 cells for the first time. The resultant 3D‐QSAR models using PLS and PCR methods were evaluated and found reliable in predicting the cytotoxicity of other TPP+‐based compounds.

Machine learning, network pharmacology, and molecular dynamics reveal potent cyclopeptide inhibitors against dengue virus proteins.

The dengue virus is a major global health hazard responsible for an estimated 390 million diseases yearly. This study focused on identifying cyclopeptide inhibitors for envelope structural proteins E, NS1, NS3, and NS5. Additionally, 5579 cyclopeptides were individually screened against the four target proteins using a machine learning-based quantitative structure-activity relationship model. Subsequently, the best 10 cyclopeptides from each protein were selected for molecular docking with their corresponding proteins. Moreover, the protein-peptide complexes with the highest affinity were subjected to a 100-ns molecular dynamics simulation. The protein-protein complexes exhibited superior structural stability and binding interactions. Based on the results of the MD simulation analyses, which included checking values for Root Mean Square Deviation, Root Mean Square Fluctuation, Principal Component Analysis (PCA), free energy landscapes, and energetic components, it was found that NS5-CP03714 complex is more stable and has stronger binding interactions than NS3-CP02054. PCA and free energy landscape plots have confirmed the higher conformational stability of NS5-CP03714. Analysis of the energetic components revealed that NS5-CP03714 (total binding energy = -47.19kcal/mol) exhibits more favorable interaction energies and overall binding energy compared to NS3-CP02054 (total binding energy = -27.36kcal/mol), suggesting a stronger and more stable formation of the complex. In addition, the drug-target network of two specific peptides (CP02950 and CP05582) and their associated target proteins were analyzed. This analysis revealed valuable information about their ability to target several proteins and their potential for broad-spectrum activity. Additional experimental investigations are necessary to validate these computational results and assess the efficacy of identified peptide inhibitors in biological systems.

Single crystal XRD, Hirshfeld surface analysis and computational approach for exploration of novel xanthene derivative

In order to study the structure-activity relationship of xanthene compound, hexahydro xanthene derivative was synthesized and characterized by single crystal X-rays diffraction. The molecular geometry was described in terms of dihedral angles between various rings present in structure. The stability of the supramolecular assembly was reinforced by multiple intermolecular interactions, which were inspected comprehensively via Hirshfeld surface analysis. DFT study revealed the excellent electronic properties and reactivity of synthesized compound. FMO is employed to uncover the orbitals energies and charge transfer within compound. The contribution of van der Waals forces is minor, while covalent nature of bonding is evidenced by the quantum theory of atoms in molecules (QTAIM) study. The electron transition from nonbonding orbitals (LP) to antibonding (LP*) are most prominent donor-acceptor interactions with significant stabilization energy. Ab-initio molecular dynamics reveals the kinetic and thermodynamic stability of present compound at room temperature. The excellent nonlinear optical properties and reactivity is revealed by its remarkable hyperpolarizability value.

The Evaluation of Debranone Series Strigolactone Agonists for Germination Stimulants in Orobanche Species.

Strigolactones (SLs) are plant hormones that regulate shoot branching. In addition, SLs act as compounds that stimulate the germination of root parasitic weeds, such as Striga spp. and Orobanche spp., which cause significant damage to agriculture worldwide. Thus, SL agonists have the potential to induce suicidal germination, thereby reducing the seed banks of root parasitic weeds in the soil. Particularly, phenoxyfuranone-type SL agonists, known as debranones, exhibit SL-like activity in rice and Striga hermonthica. However, little is known about their effects on Orobanche spp. In this study, we evaluated the germination-inducing activity of debranones against Orobanche minor. Analysis of structure-activity relationships revealed that debranones with electron-withdrawing substituents at the 2,4- or 2,6-position strongly induced the germination of Orobanche minor. Lastly, biological assays indicated that 5-(2-fluoro-4-nitrophenoxy)-3-methylfuran-2(5H)-one (test compound 61) induced germination to a comparable or even stronger extent than GR24, a well-known synthetic SL. Altogether, our data allowed us to infer that this enhanced activity was due to the recognition of compound 61 by the SLs receptor, KAI 2d, in Orobanche minor.

Discovery of new acetamide derivatives of 5-indole-1,3,4-oxadiazol-2-thiol as inhibitors of HIV-1 Tat-mediated viral transcription.

Human immunodeficiency virus-1 (HIV-1) encodes a transcriptional factor called Tat, which is critical for viral transcription. Tat-mediated transcription is highly ordered apart from the cellular manner; therefore, it is considered a target for developing anti-HIV-1 drugs. However, drugs targeting Tat-mediated viral transcription are not yet available. Our high-throughput screen of a compound library employing a dual-reporter assay identified a 1,3,4-oxadiazole scaffold against Tat and HIV-1 infection. Furthermore, a serial structure-activity relation (SAR) study performed with biological assays found 1,3,4-oxadiazole derivatives (9 and 13) containing indole and acetamide that exhibited potent inhibitory effects on HIV-1 infectivity, with half-maximal effective concentrations (EC50) of 0.17 (9) and 0.24 µM (13), respectively. The prominent derivatives specifically interfered with the viral transcriptional step without targeting other infection step(s) and efficiently inhibited the HIV-1 replication cycle in the T cell lines and peripheral blood mononuclear cells infected with HIV-1. Additionally, compared to the wild type, the compounds exhibited similar potency against anti-retroviral drug-resistant HIV-1 strains. In a series of mode-of-action studies, the compounds inhibited the ejection of histone H3 for facilitating viral transcription on the long-terminal repeat (LTR) promoter. Furthermore, SAHA (a histone deacetylase inhibitor) treatment abolished the compound potency, revealing that the compounds can possibly target Tat-regulated epigenetic modulation of LTR to inhibit viral transcription. Overall, our screening identified novel 1,3,4-oxadiazole compounds that inhibited HIV-1 Tat, and subsequent SAR-based optimization led to the derivatives 9 and 13 development that could be a promising scaffold for developing a new class of therapeutic agents for HIV-1 infection.

Machine learning-based q-RASAR predictions of the bioconcentration factor of organic molecules estimated following the organisation for economic co-operation and development guideline 305

In this study, we utilized an innovative quantitative read-across (RA) structure-activity relationship (q-RASAR) approach to predict the bioconcentration factor (BCF) values of a diverse range of organic compounds, based on a dataset of 575 compounds tested using Organisation for Economic Co-operation and Development Test Guideline 305 for bioaccumulation in fish. Initially, we constructed the q-RASAR model using the partial least squares regression method, yielding promising statistical results for the training set (R2 =0.71, Q2LOO=0.68, mean absolute error [MAE]training=0.54). The model was further validated using the test set (Q2F1=0.77, Q2F2=0.75, MAEtest=0.51). Subsequently, we explored the q-RASAR method using other regression-based supervised machine-learning algorithms, demonstrating favourable results for the training and test sets. All models exhibited R2 and Q2F1 values exceeding 0.7, Q2LOO values greater than 0.6, and low MAE values, indicating high model quality and predictive capability for new, unidentified chemical substances. These findings represent the significance of the RASAR method in enhancing predictivity for new unknown chemicals due to the incorporation of similarity functions in the RASAR descriptors, independent of a specific algorithm.

Towards Stable Helical Structures with Enhanced Molecular Conductance by Strengthening Through-Space Conjugation.

Developing long-chain molecules with stable helical structures is of significant importance for understanding and modulating the properties and functions of helical biological macromolecules, but challenging. In this work, an effective and facile approach to stabilize folded helical structures by strengthening through-space conjugation is proposed, using new ortho-hexaphenylene (o-HP) derivatives as models. The structure-activity relationship between the through-space conjugation and charge transport behavior of the prepared folded helical o-HP derivatives is experimentally and theoretically investigated. It is demonstrated that the through-space conjugation within o-HP derivatives can be strengthened by introducing electron-withdrawing pyridine and pyrazine, which can effectively stabilize the helical structures of o-HP derivatives. Moreover, scanning tunneling microscopy-break junction measurements reveal that the stable regular helical structures of o-HP derivatives open up dominant through-space charge transport pathways, and the single-molecule conductance is enhanced by more than 70% by strengthening through-space conjugation with pyridine and pyrazine. But the through-bond charge transport pathways contribute much less to the conductance of o-HP derivatives. These results not only provide a new method for exploring stable helical molecules, but also pave a stepping stone for deciphering and modulating the charge transport behavior of helical systems at the single-molecule level.