In-Silico Analysis to Identify Potential Inhibitors Against the Protein NSP12 of SARS-CoV-2

2021 ◽  
Vol 6 (3) ◽  
pp. 48-60
Author(s):  
Hima Vyshnavi ◽  
Gayathri S. S. ◽  
Shahanas Naisam ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar
Keyword(s):  
In Silico ◽  
Interaction Analysis ◽  
In Silico Analysis ◽  
Drug Efficacy ◽  
Drug Candidate ◽  
In Vivo Analysis ◽  
The Stability ◽  
Potential Inhibitors ◽  
Silico Analysis

In this pandemic condition, a drug candidate which is effective against COVID-19 is very much desired. This study initiates an in silico analysis to screen small molecules such as phytochemicals, drug metabolites, and natural metabolites against Nsp12 (a catalytic unit for RNA transcription and replication). Molecular interaction analysis of 6M71 was carried out against 2,860 ligands using Schrodinger Glide software. After docking analysis, the top 10 molecules (Glide score) were subjected to MD simulation for validating the stability. It resulted in top 10 compounds with high binding affinities with the target molecule NSP 12. Out of these, top 3 compounds including PSID_08_LIG3 (HMDB0133544), PSID_08_LIG4 (HMDB0132898), and PSID_08_LIG9 (HMDB0128199) show better Glide scores, better H-bond interaction, better MMGBSA value and stability on dynamic simulation after analysis of the results. The suggested ligands can be postulated as effective antiviral drugs against COVID-19. Further in vivo analysis is needed for validating the drug efficacy.

In-Silico Analysis to Identify Potent Quinoline Analogues Against Multi-Targets of SARS-CoV-2

2021 ◽  
Vol 6 (4) ◽  
pp. 25-37
Author(s):  
Shahanas Naisam ◽  
Viji V.S. ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar
Keyword(s):  
Interaction Analysis ◽  
In Silico Analysis ◽  
Preventive Treatment ◽  
Drug Molecule ◽  
Current Outbreak ◽  
In Vivo Analysis ◽  
Effective Drugs ◽  
Silico Analysis

In the current outbreak of COVID-19, various studies have been conducted all over the world to develop effective drugs against the virus. Recent studies have shown that hydroxychloroquine, chloroquine (antimalarial drugs), isoflavones, flavonoids, etc. have potent antiviral properties, and few have been proven as effective drugs for the preventive treatment of COVID-19. But their exact action against SARS-CoV-2 is still unknown. The strategy of this study is the virtual screening of quinoline analogues, design new ligand molecules, perform molecular interaction analysis, their MD validation against multi targets (Spike-ACE2, TMPRSS2, and Spike Protein) of SARS-CoV-2, and to suggest the most promising and effective drug molecule. Hydroxychloroquine and chloroquine were considered as the reference molecules in this study. A ligand N-[4-(3-Benzylideneazetidine-1-carbonyl)phenyl]quinoline-8-sulfonamide interacting with TMPRSS2 shows better interaction among the list even after MD validation. Further in-vitro and in-vivo analysis of this study is needed for future validation.

Investigation of indole functionalized pyrazoles and oxadiazoles as anti-inflammatory agents: synthesis, in-vivo, in-vitro and in-silico analysis

2021 ◽  
pp. 105068
Author(s):  
Devendra Kumar ◽  
Ravi Ranjan Kumar ◽  
Shelly Pathania ◽  
Pankaj Kumar Singh ◽  
Sourav Kalra ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Anti Inflammatory ◽  
Silico Analysis

An in vivo and in silico analysis of novel variation in TMBIM6 gene affecting cardiopulmonary traits of Indian goats

2020 ◽  
Vol 88 ◽  
pp. 102491
Author(s):  
Lipi Lekha Swain ◽  
Chinmoy Mishra ◽  
Siddhant Sekhar Sahoo ◽  
Gangadhar Nayak ◽  
Sukanta Kumar Pradhan ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis ◽  
Novel Variation

scholarly journals Predicting In Vivo Responses to Biomaterials via Combined In Vitro and In Silico Analysis

2015 ◽  
Vol 21 (2) ◽  
pp. 148-159 ◽  
Author(s):  
Matthew T. Wolf ◽  
Yoram Vodovotz ◽  
Stephen Tottey ◽  
Bryan N. Brown ◽  
Stephen F. Badylak
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis

scholarly journals In vivo and in silico analysis of PCNA ubiquitylation in the activation of the Post Replication Repair pathway in S. cerevisiae

2013 ◽  
Vol 7 (1) ◽  
pp. 24 ◽  
Author(s):  
Flavio Amara ◽  
Riccardo Colombo ◽  
Paolo Cazzaniga ◽  
Dario Pescini ◽  
Attila Csikász-Nagy ◽  
...  
Keyword(s):  
In Silico ◽  
In Silico Analysis ◽  
Repair Pathway ◽  
Post Replication Repair ◽  
Silico Analysis

scholarly journals A model of stem cell population dynamics: in silico analysis and in vivo validation

2012 ◽  
Vol 125 (1) ◽  
pp. e1-e1 ◽  
Author(s):  
Y. Setty ◽  
D. Dalfo ◽  
D. Z. Korta ◽  
E. J. A. Hubbard ◽  
H. Kugler
Keyword(s):  
Population Dynamics ◽  
Stem Cell ◽  
Cell Population ◽  
In Silico ◽  
In Silico Analysis ◽  
Stem Cell Population ◽  
Cell Population Dynamics ◽  
Silico Analysis ◽  
In Vivo Validation

SYNTHESIS, IN SILICO ANALYSIS AND ANTICONVULSANT ACTIVITY OF NOVEL PYRIMIDINE DERIVATIVES

INDIAN DRUGS ◽  
2021 ◽  
Vol 58 (05) ◽  
pp. 21-29
Author(s):  
Natasha N. Aggarwal ◽  
B. C. Revanasiddappa ◽  
Banylla Felicity ◽  
Vijay Kumar ◽  
Hemanth Kumar ◽  
...  
Keyword(s):  
In Silico ◽  
Anticonvulsant Activity ◽  
In Silico Analysis ◽  
Aromatic Aldehydes ◽  
Pyrimidine Derivatives ◽  
Mass Spectral ◽  
Seizure Models ◽  
Guanidine Carbonate ◽  
Silico Analysis

In this present study, a novel series of chalcones (C1-10) were synthesized by reacting 4-nitro acetophenone and various substituted aromatic aldehydes in an alcohol medium. The title compounds, pyrimidine derivatives (PD1-10), were obtained by the cyclization of chalcones (C1-10) with guanidine carbonate in an alcoholic medium. Each of the newly synthesized compounds was structurally assigned in accordance with FT-IR, 1 H-NMR and mass spectral data. All the synthesized compounds were subjected to in silico analysis among which, some of the synthesized compounds were chosen and evaluated for in vivo anticonvulsant study by employing PTZ-induced seizure and MES seizure models. Compounds PD2 and PD7 demonstrated significant anticonvulsant activity when compared to the standard.

scholarly journals Analysis of Expression Profile of Mammalian Cell Entry (mce) Operons of Mycobacterium tuberculosis

2003 ◽  
Vol 71 (10) ◽  
pp. 6083-6087 ◽  
Author(s):  
Ashwani Kumar ◽  
Mridula Bose ◽  
Vani Brahmachari
Keyword(s):  
Mycobacterium Tuberculosis ◽  
Expression Profile ◽  
In Silico ◽  
Infected Animal ◽  
In Silico Analysis ◽  
Cell Entry ◽  
Animal Tissues ◽  
Mce Operons ◽  
Silico Analysis

ABSTRACT The sequencing of the complete genome of M. tuberculosis H37Rv has resulted in the recognition of four mce operons in its genome by in silico analysis. In an attempt to understand the significance of the redundancy of mce operons, we analyzed the expression profile of mce operons after different periods of growth in culture as well as during in vivo infection. Our results strongly suggest that mce1 is expressed as a polycistronic message. In culture from day 8 to day 12, expression of only mce1 was observed, but as the cultures progress towards stationary phase the expression profile of mce operons was altered; the transcripts of the mce1 operon were barely detected while those of the mce4 operon were prominent. In an analysis of the expression of mce operons in tubercle material collected from infected animal tissues, we detected the expression of mce1, -3 and -4. Our results imply that mce operons other than mce1 are also expressed during infection and that it is necessary to examine their role in pathogenesis.

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