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Lu T, Li T, Wu MK, Zheng CC, He XM, Zhu HL, Li L, Man RJ. Molecular simulations required to target novel and potent inhibitors of cancer invasion. Expert Opin Drug Discov 2023; 18:1367-1377. [PMID: 37676052 DOI: 10.1080/17460441.2023.2254695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 08/30/2023] [Indexed: 09/08/2023]
Abstract
INTRODUCTION Computer-aided drug design (CADD) is a computational approach used to discover, develop, and analyze drugs and active molecules with similar biochemical properties. Molecular simulation technology has significantly accelerated drug research and reduced manufacturing costs. It is an optimized drug discovery method that greatly improves the efficiency of novel drug development processes. AREASCOVERED This review discusses the development of molecular simulations of effective cancer inhibitors and traces the main outcomes of in silico studies by introducing representative categories of six important anticancer targets. The authors provide views on this topic from the perspective of both medicinal chemistry and artificial intelligence, indicating the major challenges and predicting trends. EXPERT OPINION The goal of introducing CADD into cancer treatment is to realize a highly efficient, accurate, and desired approach with a high success rate for identifying potent drug candidates. However, the major challenge is the lack of a sophisticated data-filtering mechanism to verify bottom data from mixed-quality references. Consequently, despite the continuous development of algorithms, computer power, and interface optimization, specific data filtering mechanisms will become an urgent and crucial issue in the future.
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Affiliation(s)
| | - Tong Li
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi University for Nationalities, Nanning, China
| | - Meng-Ke Wu
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi University for Nationalities, Nanning, China
| | - Chi-Chong Zheng
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi University for Nationalities, Nanning, China
| | - Xue-Mei He
- Agro-food Science and Technology Research Institute, Guangxi Academy of Agricultural Science, Nanning, China
| | - Hai-Liang Zhu
- School of Life Sciences, Nanjing University, Nanjing, China
| | - Li Li
- Agro-food Science and Technology Research Institute, Guangxi Academy of Agricultural Science, Nanning, China
| | - Ruo-Jun Man
- Guangxi Key Laboratory for Polysaccharide Materials and Modifications, Guangxi University for Nationalities, Nanning, China
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Almeleebia TM, Ahamad S, Ahmad I, Alshehri A, Alkhathami AG, Alshahrani MY, Asiri MA, Saeed A, Siddiqui JA, Yadav DK, Saeed M. Identification of PARP12 Inhibitors By Virtual Screening and Molecular Dynamics Simulations. Front Pharmacol 2022; 13:847499. [PMID: 36016564 PMCID: PMC9395932 DOI: 10.3389/fphar.2022.847499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
Poly [adenosine diphosphate (ADP)-ribose] polymerases (PARPs) are members of a family of 17 enzymes that performs several fundamental cellular processes. Aberrant activity (mutation) in PARP12 has been linked to various diseases including inflammation, cardiovascular disease, and cancer. Herein, a large library of compounds (ZINC-FDA database) has been screened virtually to identify potential PARP12 inhibitor(s). The best compounds were selected on the basis of binding affinity scores and poses. Molecular dynamics (MD) simulation and binding free energy calculation (MMGBSA) were carried out to delineate the stability and dynamics of the resulting complexes. To this end, root means deviations, relative fluctuation, atomic gyration, compactness, covariance, residue-residue contact map, and free energy landscapes were studied. These studies have revealed that compounds ZINC03830332, ZINC03830554, and ZINC03831186 are promising agents against mutated PARP12.
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Affiliation(s)
- Tahani M. Almeleebia
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | | | - Irfan Ahmad
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
| | - Ahmad Alshehri
- College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia
| | - Ali G. Alkhathami
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
| | - Mohammad Y. Alshahrani
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
| | - Mohammed A. Asiri
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
| | - Amir Saeed
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, Hail, Saudi Arabia
- Department of Medical Microbiology, Faculty of Medical Laboratory Sciences, University of Medical Sciences and Technology, Khartoum, Sudan
| | - Jamshaid Ahmad Siddiqui
- Department of Transplant Immunology and Immunogenetics, All India Institute of Medical Sciences, New Delhi, India
| | - Dharmendra K. Yadav
- Department of Pharmacy, Gachon Institute of Pharmaceutical Sciences, College of Pharmacy, Gachon University of Medicine and Science, Incheon, South Korea
- *Correspondence: Mohd Saeed, ; Dharmendra K. Yadav,
| | - Mohd Saeed
- Department of Biology, College of Sciences, University of Hail, Hail, Saudi Arabia
- *Correspondence: Mohd Saeed, ; Dharmendra K. Yadav,
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Deveshegowda SN, Metri PK, Shivakumar R, Yang JR, Rangappa S, Swamynayaka A, Shanmugam MK, Nagaraja O, Madegowda M, Babu Shubha P, Chinnathambi A, Alharbi SA, Pandey V, Ahn KS, Lobie PE, Basappa B. Development of 1-(4-(Substituted)piperazin-1-yl)-2-((2-((4-methoxybenzyl)thio)pyrimidin-4-yl)oxy)ethanones That Target Poly (ADP-Ribose) Polymerase in Human Breast Cancer Cells. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27092848. [PMID: 35566199 PMCID: PMC9100275 DOI: 10.3390/molecules27092848] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 04/23/2022] [Accepted: 04/24/2022] [Indexed: 11/18/2022]
Abstract
A number of uracil amides cleave poly (ADP-ribose) polymerase and therefore novel thiouracil amide compounds were synthesized and screened for the loss of cell viability in a human-estrogen-receptor-positive breast cancer cell line. The synthesized compounds exhibited moderate to significant efficacy against human breast cancer cells, where the compound 5e IC50 value was found to be 18 μM. Thouracil amide compounds 5a and 5e inhibited the catalytical activity of PARP1, enhanced cleavage of PARP1, enhanced phosphorylation of H2AX, and increased CASPASE 3/7 activity. Finally, in silico analysis demonstrated that compound 5e interacted with PARP1. Hence, specific thiouracil amides may serve as new drug-seeds for the development of PARP inhibitors for use in oncology.
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Affiliation(s)
- Suresha N. Deveshegowda
- Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, University of Mysore, Manasagangotri, Mysore 570006, India; (S.N.D.); (P.K.M.); (R.S.)
| | - Prashant K. Metri
- Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, University of Mysore, Manasagangotri, Mysore 570006, India; (S.N.D.); (P.K.M.); (R.S.)
| | - Rashmi Shivakumar
- Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, University of Mysore, Manasagangotri, Mysore 570006, India; (S.N.D.); (P.K.M.); (R.S.)
| | - Ji-Rui Yang
- Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (J.-R.Y.); (V.P.)
| | - Shobith Rangappa
- Adichunchanagiri Institute for Molecular Medicine, BG Nagara, Nagamangala Taluk, Mandya 571448, India;
| | - Ananda Swamynayaka
- Department of Studies in Physics, University of Mysore, Manasagangotri, Mysore 570006, India; (A.S.); (O.N.); (M.M.)
| | - Muthu K. Shanmugam
- Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117600, Singapore;
| | - Omantheswara Nagaraja
- Department of Studies in Physics, University of Mysore, Manasagangotri, Mysore 570006, India; (A.S.); (O.N.); (M.M.)
| | - Mahendra Madegowda
- Department of Studies in Physics, University of Mysore, Manasagangotri, Mysore 570006, India; (A.S.); (O.N.); (M.M.)
| | - Priya Babu Shubha
- Department of Studies in Chemistry, University of Mysore, Manasagangotri, Mysore 570006, India;
| | - Arunachalam Chinnathambi
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia; (A.C.); (S.A.A.)
| | - Sulaiman Ali Alharbi
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia; (A.C.); (S.A.A.)
| | - Vijay Pandey
- Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (J.-R.Y.); (V.P.)
| | - Kwang Seok Ahn
- KHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Korea;
- Department of Science in Korean Medicine, Kyung Hee University, 24 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea
| | - Peter E. Lobie
- Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China; (J.-R.Y.); (V.P.)
- Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China
- Shenzhen Bay Laboratory, Shenzhen 518055, China
- Correspondence: (P.E.L.); (B.B.)
| | - Basappa Basappa
- Laboratory of Chemical Biology, Department of Studies in Organic Chemistry, University of Mysore, Manasagangotri, Mysore 570006, India; (S.N.D.); (P.K.M.); (R.S.)
- Correspondence: (P.E.L.); (B.B.)
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Dash S, Dash C, Pandhare J. Therapeutic Significance of microRNA-Mediated Regulation of PARP-1 in SARS-CoV-2 Infection. Noncoding RNA 2021; 7:60. [PMID: 34698261 PMCID: PMC8544662 DOI: 10.3390/ncrna7040060] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 09/18/2021] [Accepted: 09/18/2021] [Indexed: 02/07/2023] Open
Abstract
The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 (2019-nCoV) has devastated global healthcare and economies. Despite the stabilization of infectivity rates in some developed nations, several countries are still under the grip of the pathogenic viral mutants that are causing a significant increase in infections and hospitalization. Given this urgency, targeting of key host factors regulating SARS-CoV-2 life cycle is postulated as a novel strategy to counter the virus and its associated pathological outcomes. In this regard, Poly (ADP)-ribose polymerase-1 (PARP-1) is being increasingly recognized as a possible target. PARP-1 is well studied in human diseases such as cancer, central nervous system (CNS) disorders and pathology of RNA viruses. Emerging evidence indicates that regulation of PARP-1 by non-coding RNAs such as microRNAs is integral to cell survival, redox balance, DNA damage response, energy homeostasis, and several other cellular processes. In this short perspective, we summarize the recent findings on the microRNA/PARP-1 axis and its therapeutic potential for COVID-19 pathologies.
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Affiliation(s)
- Sabyasachi Dash
- Weill Cornell Medicine, Department of Pathology and Laboratory Medicine, Cornell University, New York, NY 10065, USA
- Center for AIDS Health Disparities Research, Meharry Medical College, Nashville, TN 37208, USA; (C.D.); (J.P.)
- School of Graduate Studies and Research, Meharry Medical College, Nashville, TN 37208, USA
| | - Chandravanu Dash
- Center for AIDS Health Disparities Research, Meharry Medical College, Nashville, TN 37208, USA; (C.D.); (J.P.)
- School of Graduate Studies and Research, Meharry Medical College, Nashville, TN 37208, USA
- Department of Biochemistry, Cancer Biology, Pharmacology and Neuroscience, Meharry Medical College, Nashville, TN 37208, USA
| | - Jui Pandhare
- Center for AIDS Health Disparities Research, Meharry Medical College, Nashville, TN 37208, USA; (C.D.); (J.P.)
- School of Graduate Studies and Research, Meharry Medical College, Nashville, TN 37208, USA
- Department of Microbiology, Immunology and Physiology, Meharry Medical College, Nashville, TN 37208, USA
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Sahin K, Orhan MD, Avsar T, Durdagi S. Hybrid In Silico and TR-FRET-Guided Discovery of Novel BCL-2 Inhibitors. ACS Pharmacol Transl Sci 2021; 4:1111-1123. [PMID: 34151203 DOI: 10.1021/acsptsci.0c00210] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Indexed: 12/31/2022]
Abstract
B-Cell lymphoma 2 (BCL-2) regulates cell death in humans. In this study, combined multiscale in silico approaches and in vitro studies were employed. A small-molecule library that includes more than 210 000 compounds was used. The predicted therapeutic activity value (TAV) of the compounds in this library was computed with the binary cancer quantitative structure-activity relationships (QSAR) model. The molecules with a high calculated TAV were used in 26 individual toxicity QSAR models. As a result of this screening protocol, 288 nontoxic molecules with high predicted TAV were identified. These selected hits were then screened against the BCL-2 target protein using hybrid docking and molecular dynamics (MD) simulations. The interaction energies of identified compounds were compared with two known BCL-2 inhibitors. Then, the short MD simulations were carried out by initiating the best docking poses of 288 molecules. Average MM/GBSA energies were computed, and long MD simulations were employed to selected hits. The same calculations were also applied for two known BCL-2 inhibitors. Moreover, a five-site (AHRRR) structure-based pharmacophore model was constructed, and this model was used in the screening of the same database. On the basis of hybrid data-driven ligand identification study, final hits were selected and used in in vitro studies. Based on results of the time-resolved fluorescence resonance energy transfer (TR-FRET) analysis, further filtration was carried out for the U87-MG cell line tests. MTT cell proliferation assay analysis results showed that selected three potent compounds were significantly effective on glioma cells.
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Affiliation(s)
- Kader Sahin
- Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University, Istanbul 34353, Turkey
| | - Muge Didem Orhan
- Neuroscience Program, Health Sciences Institute, Bahcesehir University, Istanbul 34353, Turkey.,Neuroscience Laboratory, Health Sciences Institute, Bahcesehir University, Istanbul 34353, Turkey
| | - Timucin Avsar
- Neuroscience Program, Health Sciences Institute, Bahcesehir University, Istanbul 34353, Turkey.,Neuroscience Laboratory, Health Sciences Institute, Bahcesehir University, Istanbul 34353, Turkey.,Department of Medical Biology, School of Medicine, Bahcesehir University, Istanbul 34353, Turkey
| | - Serdar Durdagi
- Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University, Istanbul 34353, Turkey.,Neuroscience Program, Health Sciences Institute, Bahcesehir University, Istanbul 34353, Turkey.,Neuroscience Laboratory, Health Sciences Institute, Bahcesehir University, Istanbul 34353, Turkey.,Virtual Drug Screening and Development Laboratory, School of Medicine, Bahcesehir University, Istanbul 34353, Turkey
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Supervised molecular dynamics for exploring the druggability of the SARS-CoV-2 spike protein. J Comput Aided Mol Des 2020; 35:195-207. [PMID: 33103220 PMCID: PMC7585834 DOI: 10.1007/s10822-020-00356-4] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Accepted: 10/15/2020] [Indexed: 12/17/2022]
Abstract
The recent outbreak of the respiratory syndrome-related coronavirus (SARS-CoV-2) is stimulating an unprecedented scientific campaign to alleviate the burden of the coronavirus disease (COVID-19). One line of research has focused on targeting SARS-CoV-2 proteins fundamental for its replication by repurposing drugs approved for other diseases. The first interaction between the virus and the host cell is mediated by the spike protein on the virus surface and the human angiotensin-converting enzyme (ACE2). Small molecules able to bind the receptor-binding domain (RBD) of the spike protein and disrupt the binding to ACE2 would offer an important tool for slowing, or even preventing, the infection. Here, we screened 2421 approved small molecules in silico and validated the docking outcomes through extensive molecular dynamics simulations. Out of six drugs characterized as putative RBD binders, the cephalosporin antibiotic cefsulodin was further assessed for its effect on the binding between the RBD and ACE2, suggesting that it is important to consider the dynamic formation of the heterodimer between RBD and ACE2 when judging any potential candidate.
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Sahin K. In silico identification of angiotensin-1 converting enzyme inhibitors using text mining and virtual screening. J Biomol Struct Dyn 2020; 40:1152-1162. [PMID: 33016840 DOI: 10.1080/07391102.2020.1827038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Cardiovascular diseases are the world's leading cause of death. Hypertension is an important risk factor for cardiovascular and renal diseases. Angiotensin-converting enzyme (ACE) can be a possible therapeutic target for managing angiotensin I conversion to angiotensin II and ultimately controlling hypertension. Indole is an significant fragment used in many medicines approved by FDA. For this reason, the molecules in their fragments containing" indol" keywords were taken from the Specs-SC (small compound) database. The predicted therapeutc activity values (TAV) of these compounds against hypertension were evaluated using binary models of QSAR by MetaCore/MetaDrug. For the 26 separate QSAR models of toxicity, molecules with measured TAV greater than 0.5 were used. 3792 non-toxic compounds were investigated by molecular docking study and molecular dynamics simulations for their ACE inhibitory activity. Glide standard precision (SP) of Maestro Molecular Modeling pocket was used to perform molecular docking. Short molecular dynamics (MD) simulations (5-ns) were carried out by initiating the top docking poses of selected 40 molecules. To quantitatively evaluate the predicted binding affinity of a screened compound, average MM/GBSA scores of screened ligands were calculated and based on their binding free energy values, hit compounds were identified for the long (100-ns) MD simulations. Root mean square deviation and root mean square fluctuations were also calculated to assess the structural characteristics and observe fluctuations of the 100-ns time scale. Thus, with the application of text mining and integrated molecular modeling we reported novel indole-based hit inhibitors for ACE-1.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Kader Sahin
- Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University, Istanbul, Turkey
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Sahin K. Investigation of novel indole-based HIV-1 protease inhibitors using virtual screening and text mining. J Biomol Struct Dyn 2020; 39:3638-3648. [PMID: 32496942 DOI: 10.1080/07391102.2020.1775121] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Human immunodeficiency virus type 1 protease (HIV-1 PR) inhibitors have been used as possible therapeutic agents for HIV-1 infection in clinical study. Most of the HIV therapy-related problems usually stem from long-term opioid usage. The rapid development of drug-resistant variants limits the long-term effectiveness of current inhibitors as therapeutic agents. In addition, different side effects were reported. Further drug development is required to design new compounds which have similar efficacy as the drugs currently used in HIV infection but without having undesirable side effects. Indole derivatives were considered as one of the effective HIV inhibitors. Indole is an important fragment used in many FDAapproved medicines and used in various diseases. For this purpose, in this study the molecules containing" indole" keywords in their fragments are taken from the Specs-SC database which includes 212520 small molecules. 5194 molecules that include indole keywords are selected. These selected molecules are then screened against HIV-1 PR target protein using molecular docking simulations. Then the molecules are ranked according to the their docking scores. Top docking poses of ten ligands and FDA approved drug Amprenavir are subjected to 100 ns Molecular Dynamics (MD) simulations. Thus, by using combination of text mining and integrated molecular modeling approaches, we identified novel indole-based hits against HIV-1 PR.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Kader Sahin
- Computational Biology and Molecular Simulations Laboratory, Department of Biophysics, School of Medicine, Bahcesehir University, Istanbul, Turkey
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TOPLU S, CANGÜR Ş. Text Mining Method in the Field of Health. KONURALP TIP DERGISI 2020. [DOI: 10.18521/ktd.700789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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