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Nguyen TTT, Nguyen TTT, Nguyen HD, Nguyen TK, Pham PTV, Tran LTT, Pham HKT, Truong PCH, Tran LT, Tran MH. Anti- Staphylococcus aureus potential of compounds from Ganoderma sp.: A comprehensive molecular docking and simulation approaches. Heliyon 2024; 10:e28118. [PMID: 38596094 PMCID: PMC11002548 DOI: 10.1016/j.heliyon.2024.e28118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 03/10/2024] [Accepted: 03/12/2024] [Indexed: 04/11/2024] Open
Abstract
In this study, a series of secondary metabolites from Ganoderma sp. were screened against Staphylococcus aureus protein targets, including as phosphotransacetylase, clumping factor A, and dihydrofolate reductase, using molecular docking simulations. The chemicals that showed the strongest binding energy with the targeted proteins were ganodermanontriol, lucidumol B, ganoderic acid J, ergosterol, ergosterol peroxide, 7-oxoganoderic acid Z, ganoderic acid AM1, ganosinoside A, ganoderic acid D, and 24R-ergosta-7,2E-diene-3β,5α,6β-triol. Interestingly, ganosinoside A showed the greatest affinity for the protein clumping factor A, a result validated by molecular dynamic simulation. Additionally, three natural Ganoderma sp. Strains as Ganoderma lingzhi VNKKK1903, Ganoderma lingzhi VNKK1905A2, and Amauroderma subresinosum VNKKK1904 were collected from Kon Ka Kinh National Park in central land of Vietnam and evaluated for their antibacterial activity against Staphylococcus aureus using an agar well diffusion technique. These results suggest that the fungal extracts and secondary metabolites may serve as valuable sources of antibiotics against Staphylococcus aureus. These findings provided an important scientific groundwork for further exploration of the antibacterial mechanisms of compounds derived from Ganoderma sp. in future research.
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Affiliation(s)
- Trang Thi Thu Nguyen
- Faculty of Biology and Biotechnology, University of Science, 227 Nguyen Van Cu, District 5, Ho Chi Minh City, 700000, Viet Nam
- Vietnam National University, Linh Trung, Thu Duc City, Ho Chi Minh City, 700000, Viet Nam
| | - Trinh Thi Tuyet Nguyen
- Faculty of Biology and Biotechnology, University of Science, 227 Nguyen Van Cu, District 5, Ho Chi Minh City, 700000, Viet Nam
- Vietnam National University, Linh Trung, Thu Duc City, Ho Chi Minh City, 700000, Viet Nam
| | - Hoang Duc Nguyen
- Faculty of Biology and Biotechnology, University of Science, 227 Nguyen Van Cu, District 5, Ho Chi Minh City, 700000, Viet Nam
- Vietnam National University, Linh Trung, Thu Duc City, Ho Chi Minh City, 700000, Viet Nam
| | - Tan Khanh Nguyen
- Scientific Management Department, Dong A University, 33 Xo Viet Nghe Tinh, Hai Chau District, Da Nang City, 550000, Viet Nam
| | - Phu Tran Vinh Pham
- VN-UK Institute for Research and Executive Education, The University of Danang, 158A Le Loi, Hai Chau District, Danang City, 550000, Viet Nam
| | - Linh Thuy Thi Tran
- Faculty of Pharmacy, Hue University of Medicine and Pharmacy, Hue University, Hue, 530000, Viet Nam
| | - Hong Khuyen Thi Pham
- School of Medicine and Pharmacy, The University of Danang, Hoa Quy, Ngu Hanh Son District, Da Nang City, 550000, Viet Nam
| | - Phu Chi Hieu Truong
- School of Medicine and Pharmacy, The University of Danang, Hoa Quy, Ngu Hanh Son District, Da Nang City, 550000, Viet Nam
| | - Linh Thuoc Tran
- Faculty of Biology and Biotechnology, University of Science, 227 Nguyen Van Cu, District 5, Ho Chi Minh City, 700000, Viet Nam
- Vietnam National University, Linh Trung, Thu Duc City, Ho Chi Minh City, 700000, Viet Nam
| | - Manh Hung Tran
- School of Medicine and Pharmacy, The University of Danang, Hoa Quy, Ngu Hanh Son District, Da Nang City, 550000, Viet Nam
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2
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Kawamoto S, Hori C, Taniguchi H, Okubo S, Aoki S. Identification of novel antimicrobial compounds targeting Mycobacterium tuberculosis shikimate kinase using in silico hierarchical structure-based drug screening. Tuberculosis (Edinb) 2023; 141:102362. [PMID: 37311288 DOI: 10.1016/j.tube.2023.102362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 06/02/2023] [Accepted: 06/05/2023] [Indexed: 06/15/2023]
Abstract
The development of new anti-TB drugs to prevent the spread of multidrug-resistant Mycobacterium tuberculosis (Mtb) strains is imperative. Mtb shikimate kinase (MtSK) was selected as the target protein to screen for new anti-TB drugs. We performed hierarchical in silico screening using a library of 154,118 compounds to search for novel compounds that could bind to the active site of MtSK. The growth-inhibitory effects of the candidate compounds on Mycobacterium smegmatis were evaluated in vitro. Nine of the 11 candidate compounds exhibited inhibitory effects against mycobacteria in vitro. The inhibitory activity of Compound 2 (IC50 = 1.39 μM) was higher than that of isoniazid, the first-line drug for TB treatment. Moreover, Compound 2 did not exhibit toxicity against mammalian cells and Escherichia coli. Molecular dynamics simulations using the MtSK-Compound 2 complex structure in a timeframe of 100 ns suggested that Compound 2 could stably bind to MtSK. The binding free energy of Compound 2 was estimated to be -37.96 kcal/mol using the MM/PBSA method, demonstrating that Compound 2 can stably bind to MtSK. These in silico and in vitro results indicated that Compound 2 is a promising hit compound for the development of novel anti-TB drugs.
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Affiliation(s)
- Shuhei Kawamoto
- Department of Bioscience and Bioinformatics, School of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, 820-8502, Japan
| | - Chihiro Hori
- Department of Bioscience and Bioinformatics, School of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, 820-8502, Japan
| | - Hinata Taniguchi
- Department of Bioscience and Bioinformatics, School of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, 820-8502, Japan
| | - Saya Okubo
- Department of Bioscience and Bioinformatics, School of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, 820-8502, Japan
| | - Shunsuke Aoki
- Department of Bioscience and Bioinformatics, School of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka, 820-8502, Japan.
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3
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Gul S, Khalil R, Zaheer Ul-Haq, Mubarak MS. Computational Overview of Mycobacterial Thymidine Monophosphate Kinase. Curr Pharm Des 2020; 26:1676-1681. [PMID: 32242781 DOI: 10.2174/1381612826666200403114152] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 12/30/2019] [Indexed: 11/22/2022]
Abstract
Tuberculosis (TB) ranks among the diseases with the highest morbidity rate with significantly high prevalence in developing countries. Globally, tuberculosis poses the most substantial burden of mortality. Further, a partially treated tuberculosis patient is worse than untreated; they may lead to standing out as a critical obstacle to global tuberculosis control. The emergence of multi-drug resistant (MDR) and extremely drug-resistant (XDR) strains, and co-infection of HIV further worsen the situation. The present review article discusses validated targets of the bacterial enzyme thymidine monophosphate kinase (TMPK). TMPKMTB enzyme belongs to the nucleoside monophosphate kinases (NMPKs) family. It is involved in phosphorylation of TMP to TDP, and TDP is phosphorylated to TTP. This review highlights structure elucidation of TMP enzymes and their inhibitors study on TMP scaffold, and it also discusses different techniques; including molecular docking, virtual screening, 3DPharmacophore, QSAR for finding anti-tubercular agents.
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Affiliation(s)
- Sana Gul
- Dr. Panjwani Center for Molecular Medicine and Drug Research, ICCBS, University of Karachi, Karachi-75210, Pakistan
| | - Ruqaiya Khalil
- Dr. Panjwani Center for Molecular Medicine and Drug Research, ICCBS, University of Karachi, Karachi-75210, Pakistan
| | - Zaheer Ul-Haq
- Dr. Panjwani Center for Molecular Medicine and Drug Research, ICCBS, University of Karachi, Karachi-75210, Pakistan
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4
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Taira J, Umei T, Inoue K, Kitamura M, Berenger F, Sacchettini JC, Sakamoto H, Aoki S. Improvement of the novel inhibitor for Mycobacterium enoyl-acyl carrier protein reductase (InhA): a structure-activity relationship study of KES4 assisted by in silico structure-based drug screening. J Antibiot (Tokyo) 2020; 73:372-381. [PMID: 32152525 DOI: 10.1038/s41429-020-0293-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 01/09/2020] [Accepted: 02/10/2020] [Indexed: 11/09/2022]
Abstract
InhA or enoyl-acyl carrier protein reductase of Mycobacterium tuberculosis (mtInhA), which controls mycobacterial cell wall construction, has been targeted in the development of antituberculosis drugs. Previously, our in silico structure-based drug screening study identified a novel class of compounds (designated KES4), which is capable of inhibiting the enzymatic activity of mtInhA, as well as mycobacterial growth. The compounds are composed of four ring structures (A-D), and the MD simulation predicted specific interactions with mtInhA of the D-ring and methylene group between the B-ring and C-ring; however, there is still room for improvement in the A-ring structure. In this study, a structure-activity relationship study of the A-ring was attempted with the assistance of in silico docking simulations. In brief, the virtual chemical library of A-ring-modified KES4 was constructed and subjected to in silico docking simulation against mtInhA using the GOLD program. Among the selected candidates, we achieved synthesis of seven compounds, and the bioactivities (effects on InhA activity and mycobacterial growth and cytotoxicity) of the synthesized molecules were evaluated. Among the compounds tested, two candidates (compounds 3d and 3f) exhibited superior properties as mtInhA-targeted anti-infectives for mycobacteria than the lead compound KES4.
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Affiliation(s)
- Junichi Taira
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, 820-8502, Japan
| | - Tomohiro Umei
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, 820-8502, Japan
| | - Keitaro Inoue
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, 820-8502, Japan
| | - Mitsuru Kitamura
- Department of Applied Chemistry, Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata, Kitakyushu, 804-8550, Japan
| | - Francois Berenger
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, 820-8502, Japan
| | - James C Sacchettini
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, TX, 77843-2128, USA
| | - Hiroshi Sakamoto
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, 820-8502, Japan
| | - Shunsuke Aoki
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, 820-8502, Japan.
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5
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Taira J, Morita K, Kawashima S, Umei T, Baba H, Maruoka T, Komatsu H, Sakamoto H, Sacchettini JC, Aoki S. Identification of a novel class of small compounds with anti-tuberculosis activity by in silico structure-based drug screening. J Antibiot (Tokyo) 2017; 70:1057-1064. [PMID: 28951604 DOI: 10.1038/ja.2017.106] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 06/29/2017] [Accepted: 08/07/2017] [Indexed: 01/24/2023]
Abstract
The enzymes responsible for biotin biosynthesis in mycobacteria have been considered as potential drug targets owing to the important role in infection and cell survival that the biotin synthetic pathway plays in Mycobacterium tuberculosis. Among the enzymes that comprise mycobacterium biotin biosynthesis systems, 7,8-diaminopelargonic acid synthase (DAPAS) plays an essential role during the stationary phase in bacterial growth. In this study, compounds that inhibit mycobacterial DAPAS were screened in the virtual chemical library using an in silico structure-based drug screening (SBDS) technique, and the antimycobacterial activity of the selected compounds was validated experimentally. The DOCK-GOLD programs utilized by in silico SBDS facilitated the identification of a compound, referred to as KMD6, with potent inhibitory effects on the growth of model mycobacteria (M. smegmatis). The subsequent compound search, which was based on the structural features of KMD6, resulted in identification of three additional active compounds, designated as KMDs3, KMDs9 and KMDs10. The inhibitory effect of these compounds was comparable to that of isoniazid, which is a first-line antituberculosis drug. The high antimycobacterial activity of KMD6, KMDs9 and KMDs10 was maintained on the experiment with M. tuberculosis. Of the active compounds identified, KMDs9 would be a promising pharmacophore, owing to its long-term antimycobacterial effect and lack of cytotoxicity.
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Affiliation(s)
- Junichi Taira
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Koji Morita
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Shotaro Kawashima
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Tomohiro Umei
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Hiroki Baba
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Taira Maruoka
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Hideyuki Komatsu
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - Hiroshi Sakamoto
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
| | - James C Sacchettini
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas, USA
| | - Shunsuke Aoki
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Japan
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6
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Komatsu H, Koseki Y, Kanno T, Aoki S, Kodama T. 2,3-Butandione 2-monoxime inhibits skeletal myosin II by accelerating ATP cleavage. Biochem Biophys Res Commun 2017. [PMID: 28648599 DOI: 10.1016/j.bbrc.2017.06.130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
2,3-Butandione 2-monoxime (BDM) is a widely used myosin inhibitor with an unclear mode of action. In this report, we investigated the mechanism of BDM oxime group nucleophilic reactivity on the phosphoester bond of ATP. BDM increased the ATPase activity of skeletal myosin subfragment 1 (S1) under conditions in which ATP cleavage is the rate-limiting step (K+, EDTA-ATPase activity of native S1 and Mg2+-ATPase activity of trinitrophenylated S1 and partially unfolded S1). Furthermore, the effect of BDM on the S1-bound adenosine 5'-(β,γ-imido) triphosphate (AMPPNP) 31P NMR spectrum suggests that BDM changes the microenvironment around the phosphorus atoms of myosin-bound nucleotide. A computational search for the BDM-binding site in the adenosine 5'-[γ-thio] triphosphate (myosin-ATPγS) complex predicted that BDM is located adjacent to the nucleotide on myosin. Therefore, we propose that the BDM oxime group catalytically assists in ATP cleavage, thereby enhancing the ATPase activity of myosin in a manner analogous to pralidoxime-mediated reactivation of organophosphate-inactivated acetylcholinesterase. This is the first study suggesting that oxime provides catalytic assistance for ATP cleavage by an ATP-hydrolyzing enzyme.
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Affiliation(s)
- Hideyuki Komatsu
- Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Kawazu 680-4, Iizuka 820-8502, Japan.
| | - Yuji Koseki
- Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Kawazu 680-4, Iizuka 820-8502, Japan
| | - Takeshi Kanno
- Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Kawazu 680-4, Iizuka 820-8502, Japan
| | - Shunsuke Aoki
- Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Kawazu 680-4, Iizuka 820-8502, Japan
| | - Takao Kodama
- Department of Bioscience and Bioinformatics, Kyushu Institute of Technology, Iizuka, Kawazu 680-4, Iizuka 820-8502, Japan
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7
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Chitre TS, Asgaonkar KD, Patil SM, Kumar S, Khedkar VM, Garud DR. QSAR, docking studies of 1,3-thiazinan-3-yl isonicotinamide derivatives for antitubercular activity. Comput Biol Chem 2017; 68:211-218. [PMID: 28411471 DOI: 10.1016/j.compbiolchem.2017.03.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 03/17/2017] [Accepted: 03/28/2017] [Indexed: 11/24/2022]
Abstract
The enzyme - enoyl acyl carrier protein reductase (enoyl ACP reductase) is a validated target for antitubercular activity. Inhibition of this enzyme interferes with mycolic acid synthesis which is crucial for Mycobacterium tuberculosis cell growth. In the present work 2D and 3D quantitative structure activity relationship (QSAR) studies were carried out on a series of thiazinan-Isoniazid pharmacophore to design newer analogues. For 2D QSAR, the best statistical model was generated using SA-MLR method (r2=0.958, q2=0.922) while 3D QSAR model was derived using the SA KNN method (q2=0.8498). These studies could guide the topological, electrostatic, steric, hydrophobic substitutions around the nucleus based on which the NCEs were designed. Furthermore, molecular docking was performed to gauze the binding affinity of the designed analogues for enoyl ACP reductase enzyme. Amongst all the designed analogues the binding energies of SKS 01 and SKS 05 were found to be -5.267kcal/mol and -5.237kcal/mol respectively which was comparable with the binding energy of the standard Isoniazid (-6.254kcal/mol).
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Affiliation(s)
- Trupti S Chitre
- Department of Pharmaceutical Chemistry, All India Shri Shivaji Memorial Society's College of Pharmacy, Kennedy Road, Near R.T.O., Pune 411001, M.S., India.
| | - Kalyani D Asgaonkar
- Department of Pharmaceutical Chemistry, All India Shri Shivaji Memorial Society's College of Pharmacy, Kennedy Road, Near R.T.O., Pune 411001, M.S., India
| | - Shital M Patil
- Department of Pharmaceutical Chemistry, All India Shri Shivaji Memorial Society's College of Pharmacy, Kennedy Road, Near R.T.O., Pune 411001, M.S., India
| | - Shiva Kumar
- Department of Pharmaceutical Chemistry, All India Shri Shivaji Memorial Society's College of Pharmacy, Kennedy Road, Near R.T.O., Pune 411001, M.S., India
| | - Vijay M Khedkar
- Paris Saclay University, U892 INRA, 78350 Jouy en Josas, France
| | - Dinesh R Garud
- Department of Chemistry, Sir Parashurambhau College, Affiliated to Savitribai Phule Pune University, Tilak Road, Pune 411030, India
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8
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Mantu D, Antoci V, Moldoveanu C, Zbancioc G, Mangalagiu II. Hybrid imidazole (benzimidazole)/pyridine (quinoline) derivatives and evaluation of their anticancer and antimycobacterial activity. J Enzyme Inhib Med Chem 2016; 31:96-103. [PMID: 27250919 DOI: 10.1080/14756366.2016.1190711] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The design, synthesis, structure, and in vitro anticancer and antimycobacterial activity of new hybrid imidazole (benzimidazole)/pyridine (quinoline) derivatives are described. The strategy adopted for synthesis is straight and efficient, involving a three-step setup procedure: N-acylation, N-alkylation, and quaternization of nitrogen heterocycle. The solubility in microbiological medium and anticancer and antimycobacterial activity of a selection of new synthesized compounds were evaluated. The hybrid derivatives have an excellent solubility in microbiological medium, which make them promising from the pharmacological properties point of view. One of the hybrid compounds, 9 (with a benzimidazole and 8-aminoquinoline skeleton), exhibits a very good and selective antitumor activity against Renal Cancer A498 and Breast Cancer MDA-MB-468. Moreover, the anticancer assay suggests that the hybrid Imz (Bimz)/2-AP (8-AQ) compounds present a specific affinity to Renal Cancer A498. Concerning the antimycobacterial activity, only the hybrid compound, 9, has a significant activity. SAR correlations have been performed.
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Affiliation(s)
- Dorina Mantu
- a Faculty of Chemistry , "Alexandru Ioan Cuza" University of Iasi , Iasi , Romania
| | - Vasilichia Antoci
- a Faculty of Chemistry , "Alexandru Ioan Cuza" University of Iasi , Iasi , Romania
| | - Costel Moldoveanu
- a Faculty of Chemistry , "Alexandru Ioan Cuza" University of Iasi , Iasi , Romania
| | - Gheorghita Zbancioc
- a Faculty of Chemistry , "Alexandru Ioan Cuza" University of Iasi , Iasi , Romania
| | - Ionel I Mangalagiu
- a Faculty of Chemistry , "Alexandru Ioan Cuza" University of Iasi , Iasi , Romania
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9
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Allen WJ, Balius TE, Mukherjee S, Brozell SR, Moustakas DT, Lang PT, Case DA, Kuntz ID, Rizzo RC. DOCK 6: Impact of new features and current docking performance. J Comput Chem 2015; 36:1132-56. [PMID: 25914306 DOI: 10.1002/jcc.23905] [Citation(s) in RCA: 458] [Impact Index Per Article: 50.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2014] [Revised: 03/01/2015] [Accepted: 03/07/2015] [Indexed: 12/11/2022]
Abstract
This manuscript presents the latest algorithmic and methodological developments to the structure-based design program DOCK 6.7 focused on an updated internal energy function, new anchor selection control, enhanced minimization options, a footprint similarity scoring function, a symmetry-corrected root-mean-square deviation algorithm, a database filter, and docking forensic tools. An important strategy during development involved use of three orthogonal metrics for assessment and validation: pose reproduction over a large database of 1043 protein-ligand complexes (SB2012 test set), cross-docking to 24 drug-target protein families, and database enrichment using large active and decoy datasets (Directory of Useful Decoys [DUD]-E test set) for five important proteins including HIV protease and IGF-1R. Relative to earlier versions, a key outcome of the work is a significant increase in pose reproduction success in going from DOCK 4.0.2 (51.4%) → 5.4 (65.2%) → 6.7 (73.3%) as a result of significant decreases in failure arising from both sampling 24.1% → 13.6% → 9.1% and scoring 24.4% → 21.1% → 17.5%. Companion cross-docking and enrichment studies with the new version highlight other strengths and remaining areas for improvement, especially for systems containing metal ions. The source code for DOCK 6.7 is available for download and free for academic users at http://dock.compbio.ucsf.edu/.
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Affiliation(s)
- William J Allen
- Department of Applied Mathematics & Statistics, Stony Brook University, Stony Brook, New York, 11794
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10
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Kobayashi M, Kinjo T, Koseki Y, Bourne CR, Barrow WW, Aoki S. Identification of novel potential antibiotics against Staphylococcus using structure-based drug screening targeting dihydrofolate reductase. J Chem Inf Model 2014; 54:1242-53. [PMID: 24655350 PMCID: PMC4334291 DOI: 10.1021/ci400686d] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
![]()
The emergence of multidrug-resistant Staphylococcus aureus (S. aureus) makes
the treatment of infectious diseases
in hospitals more difficult and increases the mortality of the patients.
In this study, we attempted to identify novel potent antibiotic candidate
compounds against S. aureus dihydrofolate reductase
(saDHFR). We performed three-step in silico structure-based
drug screening (SBDS) based on the crystal structure of saDHFR using
a 154,118 chemical compound library. We subsequently evaluated whether
candidate chemical compounds exhibited inhibitory effects on the growth
of the model bacterium: Staphylococcus epidermidis (S. epidermidis). The compound KB1 showed a strong
inhibitory effect on the growth of S. epidermidis. Moreover, we rescreened chemical structures similar to KB1 from
a 461,397 chemical compound library. Three of the four KB1 analogs
(KBS1, KBS3, and KBS4) showed inhibitory effects on the growth of S. epidermidis and enzyme inhibitory effects on saDHFR.
We performed structure–activity relationship (SAR) analysis
of active chemical compounds and observed a correlative relationship
among the IC50 values, interaction residues, and structure
scaffolds. In addition, the active chemical compounds (KB1, KBS3,
and KBS4) had no inhibitory effects on the growth of model enterobacteria
(E. coli BL21 and JM109 strains) and no toxic effects
on cultured mammalian cells (MDCK cells). Results obtained from Protein
Ligand Interaction Fingerprint (PLIF) and Ligand Interaction (LI)
analyses suggested that all of the active compounds exhibited potential
inhibitory effects on mutated saDHFR of the drug-resistant strains.
The structural and experimental information concerning these novel
chemical compounds will likely contribute to the development of new
antibiotics for both wild-type and drug-resistant S. aureus.
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Affiliation(s)
- Maiko Kobayashi
- Department of Bioscience and Bioinformatics, Graduate School of Computer Science and Systems Engineering, Kyushu Institute of Technology , 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502, Japan
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11
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Kinjo T, Koseki Y, Kobayashi M, Yamada A, Morita K, Yamaguchi K, Tsurusawa R, Gulten G, Komatsu H, Sakamoto H, Sacchettini JC, Kitamura M, Aoki S. Identification of Compounds with Potential Antibacterial Activity against Mycobacterium through Structure-Based Drug Screening. J Chem Inf Model 2013; 53:1200-12. [DOI: 10.1021/ci300571n] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Tomohiro Kinjo
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - Yuji Koseki
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - Maiko Kobayashi
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - Atsumi Yamada
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - Koji Morita
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - Kento Yamaguchi
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - Ryoya Tsurusawa
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - Gulcin Gulten
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas 77843-2128, United States
| | - Hideyuki Komatsu
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - Hiroshi Sakamoto
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
| | - James C. Sacchettini
- Department of Biochemistry & Biophysics, Texas A&M University, College Station, Texas 77843-2128, United States
| | - Mitsuru Kitamura
- Department
of Applied Chemistry, Kyushu Institute of Technology, 1-1 Sensui-cho, Tobata, Kitakyushu 804-8550,
Japan
| | - Shunsuke Aoki
- Department
of Bioscience and Bioinformatics, Graduate School of
Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502,
Japan
- Biomedical Informatics
Research
and Development Center (BMIRC), Kyushu Institute of Technology, 680-4 Kawazu, Iizuka-shi, Fukuoka 820-8502, Japan
| |
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