Molecular mechanisms

Targeted protein degradation(TPD) is a novel and promising approach to new drug discovery and development. It shows great potential for treating diseases with “undruggable” pathogenic protein targets and for overcoming drug resistance. Molecular glues and PROTACs are both targeted protein degraders that have attracted the most attention.

Molecular glues are small molecular degraders that mainly induce novel interaction between an E3 ligase and a target protein to form a ternary complex, leading to protein ubiquitination and subsequent proteasome degradation. Compared with PROTACs, molecular glues generally possess more favorable drug-like properties, such as lower MW, higher cell permeability, and better oral absorption. Molecular glues are emerging as a promising new therapeutic strategy.

MCE supplies a unique collection of 73 molecular glues which target various proteins. MCE Molecular Glue Compound Library is a useful tool to conduct scientific research and disease mechanism study.

Targeted Protein Degradation (TPD) is a novel and promising approach to drug development. It shows great potential for targeting proteins traditionally considered "undruggable" due to the lack of enzymatic function and absence of binding sites by tagging them for degradation or recruiting natural degradation mechanisms.

Molecular glues are a type of small-molecule degraders that primarily induce novel interactions between E3 ubiquitin ligases and target proteins, forming ternary complexes that lead to protein ubiquitination and subsequent proteasomal degradation. Compared with PROTACs, molecular glues generally have lower molecular weights, higher cell permeability, and better drug-like properties. Additionally, the design of molecular glues is relatively simple, without the requirements for complex linkers and ligand optimization. As a result, molecular glues have gradually emerged as a promising therapeutic approach for various diseases.

Multiple types of molecular glues have been reported previously. Analysis of co-crystal complex structures reveals that CRBN-related molecular glues are more versatile. Therefore, MCE researchers select active molecules related to these targets as probes for artificial intelligence (AI) screening.Subsequently, molecular docking technology was used to verify whether the screened molecules retained the key pharmacophore features. Ultimately, we obtained 320 molecular glue analogs, and these compounds serve as powerful tools for the research of molecular glues.

Methylation is an epigenetic modification mechanism that involves adding methyl groups to molecules such as DNA and histones, which can alter gene expression without changing the DNA sequence. This process is catalyzed by enzymes such as DNA methyltransferases (DNMTs) and histone methyltransferases (HMTs), and can be reversed by demethylases. The balance of methylation and demethylation is crucial for maintaining cellular function and genomic stability. Abnormal regulation of methylation may lead to a variety of diseases, including cancer, neurological disorders, and developmental abnormalities. A deep understanding of the molecular mechanisms of methylation metabolism is essential for developing therapeutic strategies for diseases associated with methylation dysregulation.

MCE contains 311 compounds targeting methylation/demethylation enzymes, which is of significant value for studying the pathways of methylation metabolism and exploring their mechanisms of action in diseases.

Boric acid is a stable and usually non-toxic group widely used in modern synthesis to form C-C and C-heteroatom bonds. Boric acid exhibits exquisite reversible coordination characteristics and can be explored as a molecular construction tool, with specific mechanisms for controlling the structure and biological characteristics of bioconjugates. Boric acid has various activities, such as anticancer, antibacterial, and antiviral activities. In drugs, boric acid mainly exists in the form of arylboronic acid. In addition to this form, heterocycles containing boric acid, such as pyridine, pyrrole, and indole derivatives, are also very useful in pharmaceutical chemistry. Molecular modification by introducing boric acid groups into bioactive molecules has been shown to alter selectivity, physicochemical, and pharmacokinetic characteristics, and improve existing activity.

MCE designs a unique collection of 153 boronic acid compounds. It is a good tool to be used for research on cancer and other diseases.

The most prominent mechanism of action of kinase inhibitors is their competition with ATP by binding to the hinge region of the kinase protein. Once the kinase is blocked by an inhibitor, it loses the ability to transfer phosphate groups from ATP to other molecules, resulting in the loss of kinase activity.

The hinge-binding region of kinase inhibitors mimics the interaction pattern between the ATP nucleobase and the kinase. MCE extracted thousands of kinase inhibitors from the ChEMBL database and isolated their molecular fragments. In certain cases, the amino and amide groups on the molecular fragments are crucial for binding in the hinge region. Therefore, we enhanced the diversity of the collected results by adding these two groups to unoccupied positions on the ring system. Subsequently, the fragments were assessed for their hinge region binding ability via docking at distinct kinases, we also applied pharmacophore constraints to ensure interactions with key amino acids in the kinase hinge region, ultimately obtaining kinase-related molecular fragments.

MCE provides over 10,000 kinase fragment molecules that meet the above requirements and are available off the shelf, serving as an effective tool for screening and developing drugs targeting kinases.

Gastric Cancer (GC) is one of the most common malignant tumors in the world, ranking fourth in mortality rate globally. Because the early symptoms of stomach neoplasm are usually not obvious, are diagnosed with gastric cancer at terminal stage, and the relative survival rate within 5 years is very low. With the further understanding of the molecular characteristics of stomach neoplasm, many therapeutic targets for gastric cancer have been identified, and molecular targeted therapies such as CTLA-4, HER2 and immune checkpoint inhibitors have made rapid progress. Although survival rates for patients with gastric neoplasm have improved over the past few decades, the prognosis is still worrying. Therefore, there is an urgent need for new drugs to treat gastric cancer.

MCE designs a unique collection of 921 small molecules with definite or potential anti-gastric cancer activity, which is an important tool for studying the pathological mechanism of stomach neoplasm and developing drugs for stomach neoplasm.

Metabolomics is the large-scale study of cellular metabolic complement, with proven utility in both basic and applied studies of plants, microorganisms, and mammals. As an important tool for the study of complex biological systems, metabolomics monitors the complex molecular networks that exist in the natural flow of information from genes to mRNA and proteins to organisms. The metabolome is composed of biomolecules that most closely resemble the phenotype of an organism, and changes in its composition can easily lead to the production of diseases. Therefore, metabolomics has received much attention in drug target discovery, drug response and translational research of disease mechanisms. Mass spectrometry-based metabolomics methods can simultaneously detect and quantify thousands of metabolite signatures, thereby characterizing the pathophysiological mechanisms of various biomedical symptoms.

MCE can provide 673 mass spectrometry human endogenous metabolites that can be used for metabolite identification and quantification, functional cell detection and phenotypic screening of mass spectrometry.

Drug development is both expensive and time-consuming, with approximately one-third of drug discontinuations caused by severe adverse drug reactions (ADRs). Among these, drug-induced cardiotoxicity (DICT) is one of the primary reasons for late-stage clinical drug failures and market withdrawals. To date, cardiotoxicity has been observed in multiple drug classes, such as anticancer drugs, antipsychotics, antidepressants, antibiotics, and neurodegenerative disease medications. To reduce cardiac ADRs, it is crucial to determine the clinical relevance of DICT to treatment, elucidate the underlying molecular mechanisms, identify reliable biomarkers, and develop new diagnostic and therapeutic approaches.

MCE offers 256 cardiotoxicity compounds, including some FDA-approved drugs as well as inhibitors/blockers of the hERG potassium channel.

Cancer is one of the leading causes of mortality amongst world’s population, in which prostate cancer (PCa) is one of the most encountered malignancies among men. Several molecular mechanisms are involved in prostate cancer development and progression. These include common survival factors in prostate cancer (IGF-1), growth factors (TGF-α, EGF), Wnt, Hedgehog, NF-κB, and mTOR and other signaling pathways. These provide potential therapeutic target in prostate cancer treatment.

MCE offers a unique collection of 2,993 compounds with identified and potential anti-prostate cancer activity. MCE Anti-Prostate Cancer Compound Library is a useful tool for anti-prostate cancer drugs screening and other related research.

Animal disease models are used in a variety of settings in basic research, such as studies on mechanisms of disease progression and evaluation new drugs. Animal models can be broadly classified into five categories: 1) experimental, 2) spontaneous, 3) negative, 4) orphan, 5) genetically engineered. Experimental models, which are induced artificially in the laboratory, are most common. Some small molecular compounds are usually used as inducers for animal models, such as Ceruletide for inflammatory model, Azoxymethane for tumor model. These inducers are useful tool in building animal models.

MCE offers a unique collection of 53 animal model inducers, involving inflammatory model, tumor model, nervous disease model, etc. MCE Animal Disease Model library is a powerful tool for the establishment of animal disease models.

Lactic acid metabolism is one of the key metabolic pathways within living organisms. It plays a crucial role not only in cellular energy conversion but is also closely related to a variety of physiological and pathological processes. The production and clearance of lactic acid are important indicators of cellular metabolic balance, and its abnormal regulation may lead to conditions such as lactic acidosis, muscle fatigue, and hereditary metabolic diseases. Moreover, lactic acid is closely related to the malignancy of tumors and is considered a biomarker for malignant tumors and poor prognosis. Lactic acid can serve as a metabolic substrate to support the metabolic needs of tumor cells under hypoxic conditions, and it can also cause acidification of the tumor microenvironment, suppress immune cell function to promote immune evasion, and induce drug resistance in tumor cells. Currently, targeting lactic acid-lactylation and its related metabolic pathways has become a new research avenue for cancer treatment. In-depth exploration of the molecular mechanisms of lactic acid metabolism can help in screening lead compounds that regulate the lactic acid metabolism.

MCE contains 452 small molecule compounds targeting enzymes involved in lactic acid metabolism. This library is of significant value for researching the role of lactate metabolism in the mechanisms of diseases.

On May 15, 2024, "Dimerization and antidepressant recognition at noradrenaline transporter" was published online by Nature. The research findings were an effort from Shanghai Institute of Materia Medica, Chinese Academy of Sciences. This study unraveled the important neural system target - the noradrenaline transporter (NET), obtaining the binding modes of human NET homodimers with the natural substrate norepinephrine (NE) and six selective antidepressants. It laid an important theoretical foundation for understanding the physiological regulation mechanisms of NET and other monoamine transporters.

The Norepinephrine Transporter (NET) Compound Library is obtained by computer-aided virtual screening based on the HY-L901 compound library . The specific screening process includes molecular docking screening, key pharmacophore screening, and CNS-MPO screening, which can be used for new drug discovery targeting the noradrenaline transporter.

Cell death plays a crucial role in the development of the body and the maintenance of internal balance to prevent the development of diseases. According to the regulation of the involved processes, cell death can be defined as programmed and non-programmed death. Programmed cell death (PCD) can be divided into lytic cell death and nonlytic cell death, mainly including apoptosis, necrotic apoptosis and Pyroptosis. Non-Programmed cell death (Non-PCD) generally refers to necrosis. In stark contrast to Accidental Cell Death (ACD), Regulatory Cell Death (RCD) relies on specialized molecular mechanisms. Cell death includes internal apoptosis, external apoptosis, necrotic apoptosis, ferroptosis, pyroptosis, lysosome-dependent cell death, etc.

MCE designs a unique collection of 3,179 cell death compounds, covering multiple targets, such as Apoptosis, Ferroptosis, Pyroptosis, Necroptosis, etc. It is a useful tool for screening cell death drugs.

The TCA cycle (tricarboxylic acid cycle)—is also known as the Krebs cycle or the citric acid cycle (CAC). The TCA cycle is a series of chemical reactions that release stored energy through the oxidation of acetyl-CoA in carbohydrates, fats, and proteins.

For decades, the TCA cycle has been considered as the central pathway for cell oxidative phosphorylation to produce energy and biosynthesis. Research shows that TCA cycle is associated with many diseases, especially cancer. In colon carcinoma, liver cancer and other cancers, there are mutations that lead to the imbalance of TCA cycle metabolites, indicating that TCA cycle may be related to the occurrence of cancer. Understanding the role and molecular mechanism of TCA cycle in inhibiting or promoting cancer progression will promote the development of new metabolite-based cancer treatment methods in the future.

MCE supplies a unique collection of 68 compounds related to the TCA cycle. MCE TCA Cycle Compound Library is a useful tool for the TCA cycle related research and anti-cancer drug development.

Neurodegenerative diseases are incurable and life-threatening conditions that result in progressive degeneration and/or death of nerve cells. Some common neurodegenerative diseases include Alzheimer’s Disease (AD), Parkinson’s Disease (PD), Motor Neuron Disease (MND), Huntington’s Disease (HD), Spino-Cerebellar Ataxia (SCA), Spinal Muscular Atrophy (SMA), and Amyotrophic Lateral Sclerosis (ALS). Because the pathophysiology of neurodegenerative disorders is generally poorly understood, it is difficult to identify promising molecular targets and validate them. At the same time, about 85% of the drugs fail in clinical trials. Therefore, validating new targets and discovering new drugs to mitigate neurodegenerative disorders is need of the hour.

MCE offers a unique collection of 3,006 compounds with anti-Neurodegenerative Diseases activities or targeting the unique targets of neurodegenerative diseases. MCE Neurodegenerative Disease-related Compound Library is a useful tool for exploring the mechanism of neurodegenerative diseases and discovering new drugs for neurodegenerative diseases.

RNA is crucial for the regulation of numerous cellular processes and functions. With the in-depth study of disease mechanisms, processes such as RNA expression, splicing, translation, and stability regulation have become new targets for disease intervention. RNA has provided new therapeutic modalities for metabolic diseases, genetic disorders, and cancer patients, resulting in several innovative drugs.

MCE R&D team collected small molecules targeting RNA from the PDB, R-BIND, ROBIN, and internal database as the positive dataset, and non-targeting RNA small molecules from ROBIN as the negative dataset. Based on the GeminiMol pre-trained model, we encoded the molecules and calculated over 1700 molecular descriptors using Mordred as inputs for the model. Subsequently, we employed 13 deep learning models to learn from the data. All of which yielded good training results, with AUROCs greater than 0.75. Ultimately, we selected the Finetune model to screen HY-L901P, which exhibited the best classification performance, achieving an AUROC of 0.82 and a prediction accuracy of 0.76. We then applied filtering based on StaR rules (with at least two of the following properties: cLogP ≥ 1.5, Molar Refractivity ≥ 4, Relative Polar Surface Area ≤ 0.3) to obtain a library containing approximately 5,000 small molecule compounds targeting RNA. This library serves as a valuable tool for screening small molecules that interact with RNA.