ChemFH: an integrated tool for screening frequent false positives in chemical biology and drug discovery.

High-throughput screening rapidly tests an extensive array of chemical compounds to identify hit compounds for specific biological targets in drug discovery. However, false-positive results disrupt hit compound screening, leading to wastage of time and resources. To address this, we propose ChemFH, an integrated online platform facilitating rapid virtual evaluation of potential false positives, including colloidal aggregators, spectroscopic interference compounds, firefly luciferase inhibitors, chemical reactive compounds, promiscuous compounds, and other assay interferences. By leveraging a dataset containing 823 391 compounds, we constructed high-quality prediction models using multi-task directed message-passing network (DMPNN) architectures combining uncertainty estimation, yielding an average AUC value of 0.91. Furthermore, ChemFH incorporated 1441 representative alert substructures derived from the collected data and ten commonly used frequent hitter screening rules. ChemFH was validated with an external set of 75 compounds. Subsequently, the virtual screening capability of ChemFH was successfully confirmed through its application to five virtual screening libraries. Furthermore, ChemFH underwent additional validation on two natural products and FDA-approved drugs, yielding reliable and accurate results. ChemFH is a comprehensive, reliable, and computationally efficient screening pipeline that facilitates the identification of true positive results in assays, contributing to enhanced efficiency and success rates in drug discovery. ChemFH is freely available via https://chemfh.scbdd.com/.

Enhancing Molecular Property Prediction through Task-Oriented Transfer Learning: Integrating Universal Structural Insights and Domain-Specific Knowledge.

Precisely predicting molecular properties is crucial in drug discovery, but the scarcity of labeled data poses a challenge for applying deep learning methods. While large-scale self-supervised pretraining has proven an effective solution, it often neglects domain-specific knowledge. To tackle this issue, we introduce Task-Oriented Multilevel Learning based on BERT (TOML-BERT), a dual-level pretraining framework that considers both structural patterns and domain knowledge of molecules. TOML-BERT achieved state-of-the-art prediction performance on 10 pharmaceutical datasets. It has the capability to mine contextual information within molecular structures and extract domain knowledge from massive pseudo-labeled data. The dual-level pretraining accomplished significant positive transfer, with its two components making complementary contributions. Interpretive analysis elucidated that the effectiveness of the dual-level pretraining lies in the prior learning of a task-related molecular representation. Overall, TOML-BERT demonstrates the potential of combining multiple pretraining tasks to extract task-oriented knowledge, advancing molecular property prediction in drug discovery.

ADMETlab 3.0: an updated comprehensive online ADMET prediction platform enhanced with broader coverage, improved performance, API functionality and decision support.

ADMETlab 3.0 is the second updated version of the web server that provides a comprehensive and efficient platform for evaluating ADMET-related parameters as well as physicochemical properties and medicinal chemistry characteristics involved in the drug discovery process. This new release addresses the limitations of the previous version and offers broader coverage, improved performance, API functionality, and decision support. For supporting data and endpoints, this version includes 119 features, an increase of 31 compared to the previous version. The updated number of entries is 1.5 times larger than the previous version with over 400 000 entries. ADMETlab 3.0 incorporates a multi-task DMPNN architecture coupled with molecular descriptors, a method that not only guaranteed calculation speed for each endpoint simultaneously, but also achieved a superior performance in terms of accuracy and robustness. In addition, an API has been introduced to meet the growing demand for programmatic access to large amounts of data in ADMETlab 3.0. Moreover, this version includes uncertainty estimates in the prediction results, aiding in the confident selection of candidate compounds for further studies and experiments. ADMETlab 3.0 is publicly for access without the need for registration at: https://admetlab3.scbdd.com.

Enhancing Multi-species Liver Microsomal Stability Prediction through Artificial Intelligence.

Liver microsomal stability, a crucial aspect of metabolic stability, significantly impacts practical drug discovery. However, current models for predicting liver microsomal stability are based on limited molecular information from a single species. To address this limitation, we constructed the largest public database of compounds from three common species: human, rat, and mouse. Subsequently, we developed a series of classification models using both traditional descriptor-based and classic graph-based machine learning (ML) algorithms. Remarkably, the best-performing models for the three species achieved Matthews correlation coefficients (MCCs) of 0.616, 0.603, and 0.574, respectively, on the test set. Furthermore, through the construction of consensus models based on these individual models, we have demonstrated their superior predictive performance in comparison with the existing models of the same type. To explore the similarities and differences in the properties of liver microsomal stability among multispecies molecules, we conducted preliminary interpretative explorations using the Shapley additive explanations (SHAP) and atom heatmap approaches for the models and misclassified molecules. Additionally, we further investigated representative structural modifications and substructures that decrease the liver microsomal stability in different species using the matched molecule pair analysis (MMPA) method and substructure extraction techniques. The established prediction models, along with insightful interpretation information regarding liver microsomal stability, will significantly contribute to enhancing the efficiency of exploring practical drugs for development.

A unique binding pocket induced by a noncanonical SAH mimic to develop potent and selective PRMT inhibitors.

Protein arginine methyltransferases (PRMTs) are attractive targets for developing therapeutic agents, but selective PRMT inhibitors targeting the cofactor SAM binding site are limited. Herein, we report the discovery of a noncanonical but less polar SAH surrogate YD1113 by replacing the benzyl guanidine of a pan-PRMT inhibitor with a benzyl urea, potently and selectively inhibiting PRMT3/4/5. Importantly, crystal structures reveal that the benzyl urea moiety of YD1113 induces a unique and novel hydrophobic binding pocket in PRMT3/4, providing a structural basis for the selectivity. In addition, YD1113 can be modified by introducing a substrate mimic to form a "T-shaped" bisubstrate analogue YD1290 to engage both the SAM and substrate binding pockets, exhibiting potent and selective inhibition to type I PRMTs (IC50 < 5 nmol/L). In summary, we demonstrated the promise of YD1113 as a general SAH mimic to build potent and selective PRMT inhibitors.

Comparative Study of Adenosine Analogs as Inhibitors of Protein Arginine Methyltransferases and a Clostridioides difficile-Specific DNA Adenine Methyltransferase.

S-Adenosyl-l-methionine (SAM) analogs are adaptable tools for studying and therapeutically inhibiting SAM-dependent methyltransferases (MTases). Some MTases play significant roles in host-pathogen interactions, one of which is Clostridioides difficile-specific DNA adenine MTase (CamA). CamA is needed for efficient sporulation and alters persistence in the colon. To discover potent and selective CamA inhibitors, we explored modifications of the solvent-exposed edge of the SAM adenosine moiety. Starting from the two parental compounds (6e and 7), we designed an adenosine analog (11a) carrying a 3-phenylpropyl moiety at the adenine N6-amino group, and a 3-(cyclohexylmethyl guanidine)-ethyl moiety at the sulfur atom off the ribose ring. Compound 11a (IC50 = 0.15 µM) is 10× and 5× more potent against CamA than 6e and 7, respectively. The structure of the CamA-DNA-inhibitor complex revealed that 11a adopts a U-shaped conformation, with the two branches folded toward each other, and the aliphatic and aromatic rings at the two ends interacting with one another. 11a occupies the entire hydrophobic surface (apparently unique to CamA) next to the adenosine binding site. Our work presents a hybrid knowledge-based and fragment-based approach to generating CamA inhibitors that would be chemical agents to examine the mechanism(s) of action and therapeutic potentials of CamA in C. difficile infection.

Structure-Activity Relationship Studies of Venglustat on NTMT1 Inhibition.

The protein N-terminal methyltransferase 1 (NTMT1) is implicated in neurogenesis, retinoblastoma, and cervical cancer. However, its pharmacological potentials have not been elucidated due to the lack of drug-like inhibitors. Here, we report the discovery of the first NTMT1 in vivo chemical probe GD433 by structure-guided optimization of our previously reported lead compound venglustat. GD433 (IC50 = 27 ± 1.1 nM) displays improved potency and selectivity than venglustat across biochemical, biophysical, and cellular assays. GD433 also displays good oral bioavailability and can serve as an in vivo chemical probe to dissect the pharmacological roles of Nα methylation. In addition, we also identified a close analogue (YD2160) that is inactive against NTMT1. The active inhibitor and negative control will serve as valuable tools to examine the physiological and pharmacological functions of NTMT1 catalytic activity.

Venglustat Inhibits Protein N-Terminal Methyltransferase 1 in a Substrate-Competitive Manner.

Venglustat is a known allosteric inhibitor for ceramide glycosyltransferase, investigated in diseases caused by lysosomal dysfunction. Here, we identified venglustat as a potent inhibitor (IC50 = 0.42 µM) of protein N-terminal methyltransferase 1 (NTMT1) by screening 58,130 compounds. Furthermore, venglustat exhibited selectivity for NTMT1 over 36 other methyltransferases. The crystal structure of NTMT1-venglustat and inhibition mechanism revealed that venglustat competitively binds at the peptide substrate site. Meanwhile, venglustat potently inhibited protein N-terminal methylation levels in cells (IC50 = 0.5 µM). Preliminary structure-activity relationships indicated that the quinuclidine and fluorophenyl parts of venglustat are important for NTMT1 inhibition. In summary, we confirmed that venglustat is a bona fide NTMT1 inhibitor, which would advance the study on the biological roles of NTMT1. Additionally, this is the first disclosure of NTMT1 as a new molecular target of venglustat, which would cast light on its mechanism of action to guide the clinical investigations.

Morphing Natural Product Platensimycin via Heck, Sonogashira, and One-Pot Sonogashira/Cycloaddition Reactions to Produce Antibiotics with In Vivo Activity.

Type II fatty acid synthases are promising drug targets against major bacterial pathogens. Platensimycin (PTM) is a potent inhibitor against ß-ketoacyl-[acyl carrier protein] synthase II (FabF) and ß-ketoacyl-[acyl carrier protein] synthase I (FabB), while the poor pharmacokinetics has prevented its further development. In this work, thirty-two PTM derivatives were rapidly prepared via Heck, Sonogashira, and one-pot Sonogashira/cycloaddition cascade reactions based on the Gram-scale synthesis of 6-iodo PTM (4). About half of the synthesized compounds were approximately equipotent to PTM against the tested Staphylococcus aureus strains. Among them, the representative compounds 4, A4, and B8 exhibited different plasma protein binding affinity or stability in the human hepatic microsome assay and showed improved in vivo efficacy over PTM in a mouse peritonitis model. In addition, A4 was also effective in an S. aureus-infected skin mouse model. Our study not only significantly expands the known PTM derivatives with improved antibacterial activities in vivo, but showcased that C-C cross-coupling reactions are useful tools to functionalize natural product drug leads.

Discovery of a potent and dual-selective bisubstrate inhibitor for protein arginine methyltransferase 4/5.

Protein arginine methyltransferases (PRMTs) have been implicated in the progression of many diseases. Understanding substrate recognition and specificity of individual PRMT would facilitate the discovery of selective inhibitors towards future drug discovery. Herein, we reported the design and synthesis of bisubstrate analogues for PRMTs that incorporate a S-adenosylmethionine (SAM) analogue moiety and a tripeptide through an alkyl substituted guanidino group. Compound AH237 is a potent and selective inhibitor for PRMT4 and PRMT5 with a half-maximal inhibition concentration (IC50) of 2.8 and 0.42 nmol/L, respectively. Computational studies provided a plausible explanation for the high potency and selectivity of AH237 for PRMT4/5 over other 40 methyltransferases. This proof-of-principle study outlines an applicable strategy to develop potent and selective bisubstrate inhibitors for PRMTs, providing valuable probes for future structural studies.

Novel Bisubstrate Inhibitors for Protein N-Terminal Acetyltransferase D.

Protein N-terminal acetyltransferase D (NatD, NAA40) that specifically acetylates the alpha-N-terminus of histone H4 and H2A has been implicated in various diseases, but no inhibitor has been reported for this important enzyme. Based on the acetyl transfer mechanism of NatD, we designed and prepared a series of highly potent NatD bisubstrate inhibitors by covalently linking coenzyme A to different peptide substrates via an acetyl or propionyl spacer. The most potent bisubstrate inhibitor displayed an apparent Ki value of 1.0 nM. Biochemical studies indicated that bisubstrate inhibitors are competitive to the peptide substrate and noncompetitive to the cofactor, suggesting that NatD undergoes an ordered Bi-Bi mechanism. We also demonstrated that these inhibitors are highly specific toward NatD, displaying about 1000-fold selectivity over other closely related acetyltransferases. High-resolution crystal structures of NatD bound to two of these inhibitors revealed the molecular basis for their selectivity and inhibition mechanism, providing a rational path for future inhibitor development.

Semisynthesis and Biological Evaluation of Platencin Thioether Derivatives: Dual FabF and FabH Inhibitors against MRSA.

The discovery and clinical use of multitarget monotherapeutic antibiotics is regarded as a promising approach to reduce the development of antibiotic resistance. Platencin (PTN), a potent natural antibiotic initially isolated from a soil actinomycete, targets both FabH and FabF, the initiation and elongation condensing enzymes for bacterial fatty acid biosynthesis. However, its further clinical development has been hampered by poor pharmacokinetics. Herein we report the semisynthesis and biological evaluation of platencin derivatives 1-15 with potent antibacterial activity against methicillin-resistant Staphylococcus aureus in vitro. Some of these PTN analogues showed similar yet distinct interactions with FabH and FabF, as shown by molecular docking, differential scanning fluorometry, and isothermal titration calorimetry. Compounds 3, 8, 10, and 14 were further evaluated in a mouse peritonitis model, among which 8 showed in vivo antibacterial activity comparable to that of PTN. Our results suggest that semisynthetic modification of PTN is a rapid route to obtain active PTN derivatives that might be further developed as promising antibiotics against drug-resistant major pathogens.

Structure-based Discovery of Cell-Potent Peptidomimetic Inhibitors for Protein N-Terminal Methyltransferase 1.

Protein N-terminal methyltransferases (NTMTs) catalyze the methylation of the α-N-terminal amines of proteins starting with an X-P-K/R motif. NTMT1 has been implicated in various cancers and in aging, implying its role as a potential therapeutic target. Through structural modifications of a lead NTMT1 inhibitor, BM30, we designed and synthesized a diverse set of inhibitors to probe the NTMT1 active site. The incorporation of a naphthyl group at the N-terminal region and an ortho-aminobenzoic amide at the C-terminal region of BM30 generates the top cell-potent inhibitor DC541, demonstrating increased activity on both purified NTMT1 (IC50 of 0.34 ± 0.02 µM) and the cellular α-N-terminal methylation level of regulator of chromosome condensation 1 (RCC1, IC50 value of 30 µM) in human colorectal cancer HT29 cells. Furthermore, DC541 exhibits over 300-fold selectivity to several methyltransferases. This study points out the direction for the development of more cell-potent inhibitors for NTMT1.

Design, synthesis and biological Evaluation of Dual acetyl cholinesterase and beta-secretase inhibitors in treatment for alzheimer's Disease.

With the recent research advances in molecular biology and technology multiple credible hypotheses about the progress of Alzheimer's disease (AD) have been proposed, among which the amyloid and cholinergic hypotheses are commonly used to develop reliable therapeutic agents. The multitarget-directed ligand (MTDL) approach was taken in this work to develop muilti-functional agents, which can mainly serve as dual beta-secretase (BACE 1) and Acetylcholinesterase (AChE) inhibitors. Series of new compounds were designed, synthesized and evaluated in this work, from which we identified 2-((4-(1,3-dioxoisoindolin-2-yl)benzyl)amino)-2-oxoethyl-2-(4-methoxyphenyl)acetate (1h) as a new dual cholinesterase and beta-secretase inhibitor without toxicity.

Late-Stage Functionalization of Platensimycin Leading to Multiple Analogues with Improved Antibacterial Activity in Vitro and in Vivo.

Bacterial fatty acid synthases are promising antibacterial targets against multidrug-resistant pathogens. Platensimycin (PTM) is a potent FabB/FabF inhibitor, while its poor pharmacokinetics hampers the clinical development. In this study, a focused library of PTM derivatives was prepared through thiolysis of PTM oxirane (1), followed by various C-C cross-coupling reactions in high yields. Antibacterial screening of these compounds in vitro yielded multiple hits with improved anti-Staphylococcus activities over PTM. Among them, compounds A1, A3, A17, and A28 exhibited improved antibacterial activities over PTM against methicillin-resistant Staphylococcus aureus (MRSA) in a mouse peritonitis model. Compound A28 was further shown to be effective against MRSA infection in a mouse wound model, in comparison to mupirocin. Therefore, the facile preparation and screening of these PTM derivatives, together with their potent antibacterial activities in vivo, suggest a promising strategy to improve the antibacterial activity and pharmacokinetic properties of PTM.

Evaluation of Platensimycin and Platensimycin-Inspired Thioether Analogues against Methicillin-Resistant Staphylococcus aureus in Topical and Systemic Infection Mouse Models.

Staphylococcus aureus is one of the most common pathogens causing hospital-acquired and community-acquired infections. Methicillin-resistant S. aureus (MRSA)-formed biofilms in wounds are difficult to treat with conventional antibiotics. By targeting FabB/FabF of bacterial fatty acid synthases, platensimycin (PTM) was discovered to act as a promising natural antibiotic against MRSA infections. In this study, PTM and its previously synthesized sulfur-Michael derivative PTM-2t could reduce over 95% biofilm formation by S. aureus ATCC 29213 when used at 2 µg/mL in vitro. Topical application of ointments containing PTM or PTM-2t (2 × 4 mg/day/mouse) was successfully used to treat MRSA infections in a BABL/c mouse burn wound model. As a potential prodrug lead, PTM-2t showed improved in vivo efficacy in a mouse peritonitis model compared with PTM. Our study suggests that PTM and its analogue may be used topically or locally to treat bacterial infections. In addition, the use of prodrug strategies might be instrumental to improve the poor pharmacokinetic properties of PTM.

Stereoselective functionalization of platensimycin and platencin by sulfa-Michael/aldol reactions.

Bioinspired sulfa-Michael/aldol cascade reactions have been developed for the semisynthesis of sulfur-containing heterocyclic derivatives of platensimycin and platencin, with three newly formed contiguous stereogenic centers. Density functional theory calculations revealed the mechanism for the stereochemistry control. This method was used in a synthesis of a platensimycin thiophene analogue with potent antibacterial activities against Staphylococcus aureus.

Semisynthesis of Platensimycin Derivatives with Antibiotic Activities in Mice via Suzuki-Miyaura Cross-Coupling Reactions.

Platensimycin (PTM), originally isolated from soil bacteria Streptomyces platensis, is a potent FabF inhibitor against many Gram-positive pathogens, such as methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci. However, the further clinical development of PTM is hampered by its poor pharmacokinetic properties. In this study, 20 PTM derivatives were prepared by Suzuki-Miyaura cross-coupling reactions catalyzed by Pd (0)/C. Compared to PTM, 6-pyrenyl PTM (6t) showed improved antibacterial activity against MRSA in a mouse peritonitis model. Our results support the strategy to target the essential fatty acid synthases in major pathogens, in order to discover and develop new generations of antibiotics.

The semi-synthesis, biological evaluation and docking analysis of the oxime, hydrazine and hydrazide derivatives of platensimycin.

A dozen oxime, hydrazine and hydrazide derivatives of platensimycin (PTM) analogues were synthesized, some of which showed strong antibacterial activities and were shown to be stable under the bioassay conditions. Docking analysis revealed that they have certain new interactions with ß-ketoacyl-[acyl carrier protein] synthase II (FabF), suggesting that Schiff base formation on its terpene scaffold is an effective strategy to diversify PTM structure.