scholarly journals Virtual Screening Peptida Bioaktif Antihipertensi dari Hidrolisat Kasein Susu Kambing Etawa

ALCHEMY ◽  
2016 ◽  
Vol 5 (2) ◽  
pp. 45
Author(s):  
Sandra Hermanto
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
Angiotensin Converting Enzyme ◽  
Protease Inhibitor ◽  
In Silico ◽  
Reference Sequence ◽  
Capra Hircus ◽  
Converting Enzyme

Penapisan peptida bioaktif dari hidrolisat kasein susu kambing Etawa yang berpotensi sebagai obat antihipertensi berdasarkan kajian <em>in silico </em>telah dilakukan. Protein yang digunakan adalah α-S1-kasein prekursor [<em>Capra hircus</em>] NCBI <em>Reference Sequence</em>: NP_001272624.1, α-S2-kasein prekursor [<em>C. hircus</em>] NCBI <em>Reference Sequence</em>: NP_001272514.1, β-kasein [<em>C. hircus</em>] NCBI <em>Reference Sequence</em>: AAA30906.1 dan κ-kasein prekursor [<em>C. hircus</em>] NCBI <em>Reference Sequence</em>: NP_001272516.1. Perancangan struktur peptida bioaktif dilakukan melalui simulasi hidrolisis enzimatik dengan menggunakan 3 jenis enzim proteolitik (tripsin, kimotripsin dan pepsin) dan dilanjutkan dengan preparasi struktur 3D ligan hasil pemotongan secara <em>in silico</em>. <em>Virtual screening</em> terhadap fragmen peptida dilakukan melalui penentuan nilai <em>drug likeness</em> dan <em>protease inhibitor.</em> Dari 104 fragmen peptida diperoleh 10 kandidat peptida bioaktif yang dilakukan simulasi <em>molecular docking</em> dengan mengeksplorasi daya inhibisi fragmen melalui perhitungan nilai (∆<em>G<sub>binding</sub></em>) dan interaksi antara kandidat peptida bioaktif dengan residu asam amino pada sisi aktif enzim ACE (<em>Angiotensin Converting Enzyme)</em>. Sebagai kontrol positif digunakan lisinopril yang merupakan inhibitor ACE komersil. Hasil penelitian menunjukkan dari 10 kandidat peptida bioaktif terdapat 6 peptida yang diduga bersifat antihipertensi dengan nilai ∆<em>G<sub>binding</sub></em><em></em><sub> </sub>yang lebih rendah dari kontrol positif (lisinopril). Keenam peptida tersebut diharapkan dapat berfungsi sebagai obat alternatif antihipertensi.

scholarly journals A Multifunctional Peptide From Bacillus Fermented Soybean for Effective Inhibition of SARS-CoV-2 S1 Receptor Binding Domain and Modulation of Toll Like Receptor 4: A Molecular Docking Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Srichandan Padhi ◽  
Samurailatpam Sanjukta ◽  
Rounak Chourasia ◽  
Rajendra K. Labala ◽  
Sudhir P. Singh ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Angiotensin Converting Enzyme ◽  
Receptor Binding ◽  
In Silico ◽  
Receptor Binding Domain ◽  
Converting Enzyme ◽  
Toll Like Receptor ◽  
Toll Like Receptor 4 ◽  
Angiotensin Converting Enzyme 2 ◽  
Fermented Soybean

Fermented soybean products are traditionally consumed and popular in many Asian countries and the northeastern part of India. To search for potential agents for the interruption of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Spike glycoprotein 1 (S1) and human angiotensin-converting enzyme 2 (ACE2) receptor interactions, the in silico antiviral prospective of peptides identified from the proteome of kinema was investigated. Soybean was fermented using Bacillus licheniformis KN1G, Bacillus amyloliquefaciens KN2G and two different strains of Bacillus subtilis (KN2B and KN2M). The peptides were screened in silico for possible antiviral activity using two different web servers (AVPpred and meta-iAVP), and binding interactions of selected 44 peptides were further explored against the receptor-binding domain (RBD) of the S1 protein (PDB ID: 6M0J) by molecular docking using ZDOCK. The results showed that a peptide ALPEEVIQHTFNLKSQ (P13) belonging to B. licheniformis KN1G fermented kinema was able to make contacts with the binding motif of RBD by blocking specific residues designated as critical (GLN493, ASN501) in the binding of human angiotensin-converting enzyme 2 (ACE2) cell receptor. The selected peptide was also observed to have a significant affinity towards human toll like receptor 4 (TLR4)/Myeloid Differentiation factor 2 (MD2) (PDB ID: 3FXI) complex known for its essential role in cytokine storm. The energy properties of the docked complexes were analyzed through the Generalized Born model and Solvent Accessibility method (MM/GBSA) using HawkDock server. The results showed peptidyl amino acids GLU5, GLN8, PHE11, and LEU13 contributed most to P13-RBD binding. Similarly, ARG90, PHE121, LEU61, PHE126, and ILE94 were appeared to be significant in P13-TLR4/MD2 complex. The findings of the study suggest that the peptides from fermented soy prepared using B. licheniformis KN1G have better potential to be used as antiviral agents. The specific peptide ALPEEVIQHTFNLKSQ could be synthesized and used in combination with experimental studies to validate its effect on SARS-CoV-2-hACE2 interaction and modulation of TLR4 activity. Subsequently, the protein hydrolysate comprising these peptides could be used as prophylaxis against viral diseases, including COVID-19.

scholarly journals Virtual Screening in Search for a Chemical Probe for Angiotensin-Converting Enzyme 2 (ACE2)

Molecules ◽  
2021 ◽  
Vol 26 (24) ◽  
pp. 7584
Author(s):  
Iryna O. Kravets ◽  
Dmytro V. Dudenko ◽  
Alexander E. Pashenko ◽  
Tatiana A. Borisova ◽  
Ganna M. Tolstanova ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
Angiotensin Converting Enzyme ◽  
Cost Effective ◽  
Converting Enzyme ◽  
Chemical Probes ◽  
Angiotensin Converting Enzyme 2 ◽  
Cpu Time ◽  
New Models ◽  
The Cost

We elaborate new models for ACE and ACE2 receptors with an excellent prediction power compared to previous models. We propose promising workflows for working with huge compound collections, thereby enabling us to discover optimized protocols for virtual screening management. The efficacy of elaborated roadmaps is demonstrated through the cost-effective molecular docking of 1.4 billion compounds. Savings of up to 10-fold in CPU time are demonstrated. These developments allowed us to evaluate ACE2/ACE selectivity in silico, which is a crucial checkpoint for developing chemical probes for ACE2.

scholarly journals Screening Virtual ACE2 Enzyme Inhibitory Activity of Compounds for COVID-19 Treatment Based on Molecular Docking

2020 ◽  
Vol 36 (4) ◽  
Author(s):  
Bui Thanh Tung ◽  
Phạm Hong Minh ◽  
Nguyen Nhu Son ◽  
Pham The Hai
Keyword(s):  
New York ◽  
Molecular Docking ◽  
Angiotensin Converting Enzyme ◽  
Inhibitory Activity ◽  
In Silico ◽  
Converting Enzyme ◽  
Angiotensin I ◽  
Angiotensin Converting Enzyme 2 ◽  
In Silico Study ◽  
Novel Coronavirus

This study uses an in silico screening docking model to evaluate the ACE2 inhibitory activity of natural compounds and drugs. The study collected 49 compounds and evaluated the ACE2 inhibitory effect in silico. The study results show that 11 out of the 49 compounds had stronger inhibitory activity on ACE2 than MLN-4760. Lipinski’s rule of five criteria and predictive pharmacokinetic-toxicity analysis show that eight compounds including quercetin, galangin, quisinostat, fluprofylline, spirofylline, RS 504393, TNP and GNF-5 had drug-likeness. These compounds could be potential drug for the Covid-19 treatment. Keywords SARS-CoV-2S, Covid-19, ACE2, molecular docking, in silico. References [[1] C. Wang, P.W. Horby, F.G. Hayden, G.F. Gao. A novel coronavirus outbreak of global health concern. The Lancet 395(10223) (2020) 470.[2] WHO. WHO Coronavirus Disease (COVID-19) Dashboard. WHO, 2020.[3] N. Chen, M. Zhou, X. Dong, J. Qu, F. Gong, Y. Han, et al. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The Lancet 395(10223) (2020) 507.[4] J. Yang, Y. Zheng, X. Gou, K. Pu, Z. Chen, Q. Guo, et al. Prevalence of comorbidities and its effects in patients infected with SARS-CoV-2: a systematic review and meta-analysis. International Journal of Infectious Diseases 94 (2020) 91.[5] R. Lu, X. Zhao, J. Li, P. Niu, B. Yang, H. Wu, et al. Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding. The Lancet 395(10224) (2020) 565.[6] R. Hilgenfeld. From SARS to MERS: crystallographic studies on coronaviral proteases enable antiviral drug design. The FEBS journal 281(18) (2014) 4085.[7] D. Wrapp, N. Wang, K.S. Corbett, J.A. Goldsmith, C.L. Hsieh, O. Abiona, et al. Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation. Science (New York, NY) 367(6483) (2020) 1260.[8] P.A. Rota, M.S. Oberste, S.S. Monroe, W.A. Nix, R. Campagnoli, J.P. Icenogle, et al. Characterization of a novel coronavirus associated with severe acute respiratory syndrome. Science (New York, NY) 300(5624) (2003) 1394.[9] M. Donoghue, F. Hsieh, E. Baronas, K. Godbout, M. Gosselin, N. Stagliano, et al. A novel angiotensin-converting enzyme-related carboxypeptidase (ACE2) converts angiotensin I to angiotensin 1-9. Circulation research 87(5) (2000) E1.[10] H. Zhang, Z. Kang, H. Gong, D. Xu, J. Wang, Z. Li, et al. The digestive system is a potential route of 2019-nCov infection: a bioinformatics analysis based on single-cell transcriptomes. bioRxiv (2020) 2020.01.30.927806.[11] Y. Zhao, Z. Zhao, Y. Wang, Y. Zhou, Y. Ma, W. Zuo. Single-cell RNA expression profiling of ACE2, the putative receptor of Wuhan 2019-nCov. bioRxiv (2020) 2020.01.26.919985.[12] E.I. Bahbah, A. Negida, M.S. Nabet. Purposing Saikosaponins for the treatment of COVID-19. Med Hypotheses 140 (2020) 109782.[13] I.W. Cheung, S. Nakayama, M.N. Hsu, A.G. Samaranayaka, E.C. Li-Chan. Angiotensin-I converting enzyme inhibitory activity of hydrolysates from oat (Avena sativa) proteins by in silico and in vitro analyses. Journal of agricultural and food chemistry 57(19) (2009) 9234.[14] T. Joshi, T. Joshi, P. Sharma, S. Mathpal, H. Pundir, V. Bhatt, et al. In silico screening of natural compounds against COVID-19 by targeting Mpro and ACE2 using molecular docking. European review for medical and pharmacological sciences 24(8) (2020) 4529.[15] S. Shahid, A. Kausar, M. Khalid, S. Tewari, T. Alghassab, T. Acar, et al. analysis of binding properties of angiotensin-converting enzyme 2 through in silico molecular docking, 2018.[16] K. Teralı, B. Baddal, H.O. Gülcan. Prioritizing potential ACE2 inhibitors in the COVID-19 pandemic: Insights from a molecular mechanics-assisted structure-based virtual screening experiment. J Mol Graph Model 100 (2020) 107697.[17] M. Muchtaridi, M. Fauzi, N.K. Khairul Ikram, A. Mohd Gazzali, H.A. Wahab. Natural Flavonoids as Potential Angiotensin-Converting Enzyme 2 Inhibitors for Anti-SARS-CoV-2. Molecules 25(17) (2020) 3980.[18] M.J. Huentelman, J. Zubcevic, J.A. Hernández Prada, X. Xiao, D.S. Dimitrov, M.K. Raizada, et al. Structure-based discovery of a novel angiotensin-converting enzyme 2 inhibitor. Hypertension (Dallas, Tex : 1979) 44(6) (2004) 903.[19] S. Choudhary, Y.S. Malik, S. Tomar. Identification of SARS-CoV-2 Cell Entry Inhibitors by Drug Repurposing Using in silico Structure-Based Virtual Screening Approach. Front Immunol 11((2020) 1664.[20] C.A. Lipinski. Lead-and drug-like compounds: the rule-of-five revolution. Drug Discovery Today: Technologies 1(4) (2004) 337.[21] B. Jayaram, T. Singh, G. Mukherjee, A. Mathur, S. Shekhar, V. Shekhar, Eds. Sanjeevini: a freely accessible web-server for target directed lead molecule discovery. Proceedings of the BMC bioinformatics; 2012. Springer (Year).[22] D.E. Pires, T.L. Blundell, D.B. Ascher. pkCSM: predicting small-molecule pharmacokinetic and toxicity properties using graph-based signatures. Journal of medicinal chemistry 58(9) (2015) 4066.[23] P. Towler, B. Staker, S.G. Prasad, S. Menon, J. Tang, T. Parsons, et al. ACE2 X-ray structures reveal a large hinge-bending motion important for inhibitor binding and catalysis. The Journal of biological chemistry 279(17) (2004) 17996.[24] N.A. Dales, A.E. Gould, J.A. Brown, E.F. Calderwood, B. Guan, C.A. Minor, et al. Substrate-based design of the first class of angiotensin-converting enzyme-related carboxypeptidase (ACE2) inhibitors. Journal of the American Chemical Society 124(40) (2002) 11852.[25] P. Pandey, J.S. Rane, A. Chatterjee, A. Kumar, R. Khan, A. Prakash, et al. Targeting SARS-CoV-2 spike protein of COVID-19 with naturally occurring phytochemicals: an in silico study for drug development. Journal of Biomolecular Structure and Dynamics (2020) 1.[26] C.A. Lipinski. Lead- and drug-like compounds: the rule-of-five revolution. Drug discovery today Technologies 1(4) (2004) 337.[27] R.O. Barros, F.L. Junior, W.S. Pereira, N.M. Oliveira, R.M. Ramos. Interaction of drug candidates with various SARS-CoV-2 receptors: An in silico study to combat COVID-19. Journal of Proteome Research (2020).  

Promising Anti-stroke Signature of Voglibose: Investigation through In- Silico Molecular Docking and Virtual Screening in In-Vivo Animal Studies

2020 ◽  
Vol 20 (3) ◽  
pp. 223-235
Author(s):  
Pooja Shah ◽  
Vishal Chavda ◽  
Snehal Patel ◽  
Shraddha Bhadada ◽  
Ghulam Md. Ashraf
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
In Silico ◽  
Reductase Activity ◽  
Infarct Volume ◽  
Docking Studies ◽  
Serum Glucose ◽  
In Vivo Studies ◽  
In Silico Molecular Docking

Background: Postprandial hyperglycemia considered to be a major risk factor for cerebrovascular complications. Objective: The current study was designed to elucidate the beneficial role of voglibose via in-silico in vitro to in-vivo studies in improving the postprandial glycaemic state by protection against strokeprone type 2 diabetes. Material and Methods: In-Silico molecular docking and virtual screening were carried out with the help of iGEMDOCK+ Pymol+docking software and Protein Drug Bank database (PDB). Based on the results of docking studies, in-vivo investigation was carried out for possible neuroprotective action. T2DM was induced by a single injection of streptozotocin (90mg/kg, i.v.) to neonates. Six weeks after induction, voglibose was administered at the dose of 10mg/kg p.o. for two weeks. After eight weeks, diabetic rats were subjected to middle cerebral artery occlusion, and after 72 hours of surgery, neurological deficits were determined. The blood was collected for the determination of serum glucose, CK-MB, LDH and lipid levels. Brains were excised for determination of brain infarct volume, brain hemisphere weight difference, Na+-K+ ATPase activity, ROS parameters, NO levels, and aldose reductase activity. Results: In-silico docking studies showed good docking binding score for stroke associated proteins, which possibly hypotheses neuroprotective action of voglibose in stroke. In the present in-vivo study, pre-treatment with voglibose showed a significant decrease (p<0.05) in serum glucose and lipid levels. Voglibose has shown significant (p<0.05) reduction in neurological score, brain infarct volume, the difference in brain hemisphere weight. On biochemical evaluation, treatment with voglibose produced significant (p<0.05) decrease in CK-MB, LDH, and NO levels in blood and reduction in Na+-K+ ATPase, oxidative stress, and aldose reductase activity in brain homogenate. Conclusion: In-silico molecular docking and virtual screening studies and in-vivo studies in MCAo induced stroke, animal model outcomes support the strong anti-stroke signature for possible neuroprotective therapeutics.

Virtual Screening, Molecular docking and in-silico ADME-Tox analysis for identification of potential main protease (Mpro) enzyme inhibitors

2020 ◽  
Vol 18 ◽  
Author(s):  
Debadash Panigrahi ◽  
Ganesh Prasad Mishra
Keyword(s):  
Molecular Docking ◽  
Virtual Screening ◽  
In Silico ◽  
Data Bank ◽  
Future Research ◽  
Reference Compound ◽  
Unexpected Death ◽  
Main Protease ◽  
In Silico Admet

Objective:: Recent pandemic caused by SARS-CoV-2 described in Wuhan China in December-2019 spread widely almost all the countries of the world. Corona virus (COVID-19) is causing the unexpected death of many peoples and severe economic loss in several countries. Virtual screening based on molecular docking, drug-likeness prediction, and in silico ADMET study has become an effective tool for the identification of small molecules as novel antiviral drugs to treat diseases. Methods:: In the current study, virtual screening was performed through molecular docking for identifying potent inhibitors against Mpro enzyme from the ZINC library for the possible treatment of COVID-19 pandemic. Interestingly, some compounds are identified as possible anti-covid-19 agents for future research. 350 compounds were screened based on their similarity score with reference compound X77 from ZINC data bank and were subjected to docking with crystal structure available of Mpro enzyme. These compounds were then filtered by their in silico ADME-Tox and drug-likeness prediction values. Result:: Out of these 350 screened compounds, 10 compounds were selected based on their docking score and best docked pose in comparison to the reference compound X77. In silico ADME-Tox and drug likeliness predictions of the top compounds were performed and found to be excellent results. All the 10 screened compounds showed significant binding pose with the target enzyme main protease (Mpro) enzyme and satisfactory pharmacokinetic and toxicological properties. Conclusion:: Based on results we can suggest that the identified compounds may be considered for therapeutic development against the COVID-19 virus and can be further evaluated for in vitro activity, preclinical, clinical studies and formulated in a suitable dosage form to maximize their bioavailability.

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