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Liu Q, He D, Fan M, Wang J, Cui Z, Wang H, Mi Y, Li N, Meng Q, Hou Y. Prediction and Interpretation Microglia Cytotoxicity by Machine Learning. J Chem Inf Model 2024. [PMID: 38949724 DOI: 10.1021/acs.jcim.4c00366] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Ameliorating microglia-mediated neuroinflammation is a crucial strategy in developing new drugs for neurodegenerative diseases. Plant compounds are an important screening target for the discovery of drugs for the treatment of neurodegenerative diseases. However, due to the spatial complexity of phytochemicals, it becomes particularly important to evaluate the effectiveness of compounds while avoiding the mixing of cytotoxic substances in the early stages of compound screening. Traditional high-throughput screening methods suffer from high cost and low efficiency. A computational model based on machine learning provides a novel avenue for cytotoxicity determination. In this study, a microglia cytotoxicity classifier was developed using a machine learning approach. First, we proposed a data splitting strategy based on the molecule murcko generic scaffold, under this condition, three machine learning approaches were coupled with three kinds of molecular representation methods to construct microglia cytotoxicity classifier, which were then compared and assessed by the predictive accuracy, balanced accuracy, F1-score, and Matthews Correlation Coefficient. Then, the recursive feature elimination integrated with support vector machine (RFE-SVC) dimension reduction method was introduced to molecular fingerprints with high dimensions to further improve the model performance. Among all the microglial cytotoxicity classifiers, the SVM coupled with ECFP4 fingerprint after feature selection (ECFP4-RFE-SVM) obtained the most accurate classification for the test set (ACC of 0.99, BA of 0.99, F1-score of 0.99, MCC of 0.97). Finally, the Shapley additive explanations (SHAP) method was used in interpreting the microglia cytotoxicity classifier and key substructure smart identified as structural alerts. Experimental results show that ECFP4-RFE-SVM have reliable classification capability for microglia cytotoxicity, and SHAP can not only provide a rational explanation for microglia cytotoxicity predictions, but also offer a guideline for subsequent molecular cytotoxicity modifications.
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Affiliation(s)
- Qing Liu
- College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, P. R. China
| | - Dakuo He
- College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, P. R. China
| | - Mengmeng Fan
- College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, P. R. China
| | - Jinpeng Wang
- College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, P. R. China
| | - Zeyu Cui
- College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, P. R. China
| | - Hao Wang
- College of Information Science and Engineering, State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang 110819, P. R. China
| | - Yan Mi
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, Northeastern University, Shenyang 110169, P. R. China
| | - Ning Li
- School of Traditional Chinese Materia Medica, Key Laboratory for TCM Material Basis Study and Innovative Drug Development of Shenyang City, Shenyang Pharmaceutical University, Shenyang 110016, P. R. China
| | - Qingqi Meng
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, Northeastern University, Shenyang 110169, P. R. China
| | - Yue Hou
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Key Laboratory of Data Analytics and Optimization for Smart Industry, Ministry of Education, Northeastern University, Shenyang 110169, P. R. China
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Thakur A, Faujdar C, Sharma R, Sharma S, Malik B, Nepali K, Liou JP. Glioblastoma: Current Status, Emerging Targets, and Recent Advances. J Med Chem 2022; 65:8596-8685. [PMID: 35786935 PMCID: PMC9297300 DOI: 10.1021/acs.jmedchem.1c01946] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
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Glioblastoma (GBM) is a highly malignant
brain tumor characterized
by a heterogeneous population of genetically unstable and highly infiltrative
cells that are resistant to chemotherapy. Although substantial efforts
have been invested in the field of anti-GBM drug discovery in the
past decade, success has primarily been confined to the preclinical
level, and clinical studies have often been hampered due to efficacy-,
selectivity-, or physicochemical property-related issues. Thus, expansion
of the list of molecular targets coupled with a pragmatic design of
new small-molecule inhibitors with central nervous system (CNS)-penetrating
ability is required to steer the wheels of anti-GBM drug discovery
endeavors. This Perspective presents various aspects of drug discovery
(challenges in GBM drug discovery and delivery, therapeutic targets,
and agents under clinical investigation). The comprehensively covered
sections include the recent medicinal chemistry campaigns embarked
upon to validate the potential of numerous enzymes/proteins/receptors
as therapeutic targets in GBM.
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Affiliation(s)
- Amandeep Thakur
- School of Pharmacy, College of Pharmacy, Taipei Medical University, 250 Wuxing Street, Taipei 11031, Taiwan
| | - Chetna Faujdar
- Department of Biotechnology, Jaypee Institute of Information Technology, Noida 201307, India
| | - Ram Sharma
- School of Pharmacy, College of Pharmacy, Taipei Medical University, 250 Wuxing Street, Taipei 11031, Taiwan
| | - Sachin Sharma
- School of Pharmacy, College of Pharmacy, Taipei Medical University, 250 Wuxing Street, Taipei 11031, Taiwan
| | - Basant Malik
- Department of Sterile Product Development, Research and Development-Unit 2, Jubiliant Generics Ltd., Noida 201301, India
| | - Kunal Nepali
- School of Pharmacy, College of Pharmacy, Taipei Medical University, 250 Wuxing Street, Taipei 11031, Taiwan
| | - Jing Ping Liou
- School of Pharmacy, College of Pharmacy, Taipei Medical University, 250 Wuxing Street, Taipei 11031, Taiwan
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Yuan P, Gu X, Ni X, Qi Y, Shao X, Xu X, Liu J, Qian X. Non-alkylator anti-glioblastoma agents induced cell cycle G2/M arrest and apoptosis: Design, in silico physicochemical and SAR studies of 2-aminoquinoline-3-carboxamides. Bioorg Med Chem Lett 2021; 51:128371. [PMID: 34534673 DOI: 10.1016/j.bmcl.2021.128371] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 09/04/2021] [Accepted: 09/10/2021] [Indexed: 11/17/2022]
Abstract
Malignant gliomas are the most common brain tumors, with generally dismal prognosis, early clinical deterioration and high mortality. Recently, 2-aminoquinoline scaffold derivatives have shown pronounced activity in central nervous system disorders. We herein reported a series of 2-aminoquinoline-3-carboxamides as novel non-alkylator anti-glioblastoma agents. The synthesized compounds showed comparable activity to cisplatin against glioblastoma cell line U87 MG in vitro. Among them, we found that 6a displayed good inhibitory activity against A172 and U118 MG glioblastoma cell lines and induced cell cycle arrest in the G2/M phase and apoptosis in U87 MG by flow cytometry analysis. Additionally, 6a displayed low cytotoxicity to several normal human cell lines. In silico study showed 6a had promising physicochemical properties and was predicted to cross the blood-brain barrier. Moreover, preliminary structure-activity relationships are also investigated, shedding light on further modifications towards more potent agents on this series of compounds. Our results suggest this compound has a promising potential as an anti-glioblastoma agent with a differential effect between tumor and non-malignant cells.
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Affiliation(s)
- Pengtao Yuan
- Shanghai Key Laboratory of Chemical Biology, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Xiangyu Gu
- Shanghai Key Laboratory of New Drug Design, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China
| | - Xintong Ni
- Shanghai Key Laboratory of Chemical Biology, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Yingxue Qi
- Shanghai Key Laboratory of New Drug Design, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China
| | - Xusheng Shao
- Shanghai Key Laboratory of Chemical Biology, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Xiaoyong Xu
- Shanghai Key Laboratory of Chemical Biology, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China
| | - Jianwen Liu
- Shanghai Key Laboratory of New Drug Design, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science & Technology, Shanghai 200237, China.
| | - Xuhong Qian
- Shanghai Key Laboratory of Chemical Biology, School of Pharmacy, East China University of Science and Technology, 130 Meilong Road, Shanghai 200237, China; School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200241, China.
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Sardashti-Birjandi A, Mollashahi E, Maghsoodlou MT, Yazdani-Elah-Abadi A. Green and catalyst-free synthesis of aminoanthraquinone derivatives in solvent-free conditions. RESEARCH ON CHEMICAL INTERMEDIATES 2021. [DOI: 10.1007/s11164-021-04485-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Fernandes GFDS, Fernandes BC, Valente V, Dos Santos JL. Recent advances in the discovery of small molecules targeting glioblastoma. Eur J Med Chem 2018; 164:8-26. [PMID: 30583248 DOI: 10.1016/j.ejmech.2018.12.033] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 12/13/2018] [Accepted: 12/14/2018] [Indexed: 12/22/2022]
Abstract
Glioblastoma (GBM) is one of the most common central nervous system cancers. It is characterized as a fast-growing tumor that arises from multiple cell types with neural stem-cell-like properties. Additionally, GBM tumors are highly invasive, which is attributed to the presence of glioblastoma stem cells that makes surgery ineffective in most cases. Currently, temozolomide is the unique chemotherapy option approved by the U.S. Food and Drug Administration for GBM treatment. This review analyzes the emergence and development of new synthetic small molecules discovered as promising anti-glioblastoma agents. A number of compounds were described herein and grouped according to the main chemical class used in the drug discovery process. Importantly, we focused only on synthetic compounds published in the last 10 years, thus excluding natural products. Furthermore, we included in this review only those most biologically active compounds with proven in vitro and/or in vivo efficacy.
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Affiliation(s)
- Guilherme Felipe Dos Santos Fernandes
- São Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, 14800-903, Brazil; São Paulo State University (UNESP), Institute of Chemistry, Araraquara, 14800-060, Brazil
| | - Barbara Colatto Fernandes
- São Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, 14800-903, Brazil
| | - Valeria Valente
- São Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, 14800-903, Brazil
| | - Jean Leandro Dos Santos
- São Paulo State University (UNESP), School of Pharmaceutical Sciences, Araraquara, 14800-903, Brazil; São Paulo State University (UNESP), Institute of Chemistry, Araraquara, 14800-060, Brazil.
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