scholarly journals Strategy for searching potential partner genes of Drosophila melanogaster Sws gene

2021 ◽  
Vol 28 ◽  
pp. 123-127
Author(s):  
M. Ye. Horin ◽  
N. P. Matiytsiv
Keyword(s):  
Drosophila Melanogaster ◽  
Protein Interactions ◽  
In Silico ◽  
Genetic Interaction ◽  
In Silico Analysis ◽  
Neuropathy Target Esterase ◽  
Swiss Cheese ◽  
Web Resource ◽  
Gene Database

Aim. The Drosophila swiss cheese (sws) gene is a mammalian ortholog of neuropathy target esterase (NTE or PNPLA6). This protein is involved in the functioning of the nervous system and causes some kinds of polyneuropathy with the mechanism unknown. Genes-interactors of the sws gene should be found to investigate the cellular mechanism of SWS/NTE-dependent neuropathy formation and to find out what signaling pathways SWS is involved in. Methods. The search was done in the Drosophila database – Flybase, in the NCBI (Gene) database to search for orthologs, and the String web resource was used in the case of potential protein interactions. Results. Only four experimentally identified genes-interactors were listed in the Flybase. Based on the expression changes data of 28 genes at PNPLA6 silencing, a theoretical search for the corresponding orthologs in Drosophila was done. The in silico assay predicted 10 proteins that are probably functioning within one metabolic pathway. Conclusions. The methods applied gave us a wide list of genes that can interact with sws at different levels: from the expression pattern to the phenotype. Therefore, 25 potentially partner genes were selected to verify the genetic interaction of these genes in vivo. Keywords: gene swiss cheese, neuropathy target esterase, neurodegeneration, in silico analysis, genes interaction, Drosophila melanogaster.

scholarly journals Target related in silico analysis of Bergenin and tuberculosis management

Biomedicine ◽  
2021 ◽  
Vol 40 (4) ◽  
pp. 474-481
Author(s):  
Virupaksha A. Bastikar ◽  
Alpana Bastikar ◽  
Pramodkumar P. Gupta ◽  
Sandeep R. Pai ◽  
Santosh S. Chhajed
Keyword(s):  
Protein Interactions ◽  
In Silico ◽  
Biological Process ◽  
In Silico Analysis ◽  
Enrichment Analysis ◽  
Binding Mode ◽  
Health Concern ◽  
Silico Analysis

Introduction and Aim: Tuberculosis (TB) is a global health concern, claiming two million lives every year. Although an oldest known human infectious disease, researcher is falling short of giving out an effective and reliable vaccine or therapy. The current antimycobacterial drugs include Isoniazid, Ethambutol, Rifampicin and Pyrazinemamide available in market, but most of these are known to have certain adverse effects. Hence there is an increase in demand for natural products with anti-tuberculosis activity with no or limited side effects. Indian traditional systems of medicine have a plethora of promising plants for treatment of tuberculosis, of which Bergenin is the most well established and extensively used compound. The main aim of this research was to investigate the role of Bergenin as an anti-tuberculosis agent with the help of in-silico analysis and protein interaction studies. Materials and Methods: In the present study 04 known 3-dimensional crystallized anti-tubercular drug target is considered and retrieved from PDB. Drug Isoniazid, Ethambutol, Rifampicin, Pyrazineamide and phytochemical Bergenin were retrieved, sketched and geometrically optimized. Molecular docking is carried to understand the binding mode and its core interactions. ADMET properties were calculated in assessment of the toxicity. Protein-protein interactions and enrichment analysis is carried out to understand the biological process involved with rpsA protein. Results: In the present study other than Rifampicin, Bergenin reported with better binding energy and similar pharmacophoric interaction pattern as compared to all the 04 indigenous inhibitors. The PPI network and enrichment analysis predicts the plausible biological process involved with rpsA protein and can be further targeted in treatment of tuberculosis. Conclusion: The results showed that Bergenin was better than and competent with the existing drugs and can be used as an anti-tuberculosis agent if studied in-vitro and in-vivo for its activity.

In Silico Study of Potential Cross-Kingdom Plant MicroRNA Based Regulation in Chronic Myeloid Leukemia

2020 ◽  
Vol 17 (2) ◽  
pp. 125-132
Author(s):  
Marjanu Hikmah Elias ◽  
Noraziah Nordin ◽  
Nazefah Abdul Hamid
Keyword(s):  
Targeted Therapy ◽  
In Silico ◽  
Structure Prediction ◽  
Tertiary Structure ◽  
Target Prediction ◽  
In Silico Analysis ◽  
Microrna Target ◽  
Good Target

Background: Chronic Myeloid Leukaemia (CML) is associated with the BCRABL1 gene, which plays a central role in the pathogenesis of CML. Thus, it is crucial to suppress the expression of BCR-ABL1 in the treatment of CML. MicroRNA is known to be a gene expression regulator and is thus a good candidate for molecularly targeted therapy for CML. Objective: This study aims to identify the microRNAs from edible plants targeting the 3’ Untranslated Region (3’UTR) of BCR-ABL1. Methods: In this in silico analysis, the sequence of 3’UTR of BCR-ABL1 was obtained from Ensembl Genome Browser. PsRNATarget Analysis Server and MicroRNA Target Prediction (miRTar) Server were used to identify miRNAs that have binding conformity with 3’UTR of BCR-ABL1. The MiRBase database was used to validate the species of plants expressing the miRNAs. The RNAfold web server and RNA COMPOSER were used for secondary and tertiary structure prediction, respectively. Results: In silico analyses revealed that cpa-miR8154, csi-miR3952, gma-miR4414-5p, mdm-miR482c, osa-miR1858a and osa-miR1858b show binding conformity with strong molecular interaction towards 3’UTR region of BCR-ABL1. However, only cpa-miR- 8154, osa-miR-1858a and osa-miR-1858b showed good target site accessibility. Conclusion: It is predicted that these microRNAs post-transcriptionally inhibit the BCRABL1 gene and thus could be a potential molecular targeted therapy for CML. However, further studies involving in vitro, in vivo and functional analyses need to be carried out to determine the ability of these miRNAs to form the basis for targeted therapy for CML.

scholarly journals In Silico Predicted Antifungal Peptides: In Vitro and In Vivo Anti-Candida Activity

2021 ◽  
Vol 7 (6) ◽  
pp. 439
Author(s):  
Tecla Ciociola ◽  
Walter Magliani ◽  
Tiziano De Simone ◽  
Thelma A. Pertinhez ◽  
Stefania Conti ◽  
...  
Keyword(s):  
In Silico ◽  
Mammalian Cells ◽  
Galleria Mellonella ◽  
Ex Vivo ◽  
Consensus Sequence ◽  
In Silico Analysis ◽  
Significant Activity ◽  
Synthetic Antibody

It has been previously demonstrated that synthetic antibody-derived peptides could exert a significant activity in vitro, ex vivo, and/or in vivo against microorganisms and viruses, as well as immunomodulatory effects through the activation of immune cells. Based on the sequence of previously described antibody-derived peptides with recognized antifungal activity, an in silico analysis was conducted to identify novel antifungal candidates. The present study analyzed the candidacidal and structural properties of in silico designed peptides (ISDPs) derived by amino acid substitutions of the parent peptide KKVTMTCSAS. ISDPs proved to be more active in vitro than the parent peptide and all proved to be therapeutic in Galleria mellonella candidal infection, without showing toxic effects on mammalian cells. ISDPs were studied by circular dichroism spectroscopy, demonstrating different structural organization. These results allowed to validate a consensus sequence for the parent peptide KKVTMTCSAS that may be useful in the development of novel antimicrobial molecules.

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

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.

scholarly journals Molecular docking and pharmacokinetic screening of eucalyptol (1,8 cineole) from eucalyptus essential oil against SARS-CoV-2

2020 ◽  
Vol 12 (3) ◽  
pp. 536-545
Author(s):  
Arun D. SHARMA ◽  
Inderjeet KAUR
Keyword(s):  
Molecular Docking ◽  
Essential Oil ◽  
Active Site ◽  
In Silico ◽  
Hydrophobic Interactions ◽  
Rna Virus ◽  
In Silico Analysis ◽  
Active Site Residues ◽  
Virus Family

SARS-CoV-2 (COVID-19), member of corona virus family, is a positive single stranded RNA virus. Due to lack of drugs it is spreading its tentacles across the world. Being associated with cough, fever, and respiratory distress, this disease caused more than 15% mortality worldwide. Mpro/3CLpro has recently been regarded as a suitable target for drug design due to its vital role in virus replication. The current study focused on the inhibitory activity of eucalyptol (1,8 cineole), an essential oil component from eucalyptus oil, against Mpro/3CLprofrom SARS-CoV-2. Till date there is no work is undertaken on in-silico analysis of this compound against Mpro/3CLproof SARS-CoV-2. Molecular docking studies were conducted by using 1-click dock tool and Patchdock analysis. In-silico absorption, distribution, metabolism, excretion and toxicity (ADMET) profile were also studied. The calculated parameters such as docking score indicated effective binding of eucalyptol to COVID-19 Mpro protein. Active site prediction revealed the involvement of active site residues in ligand binding. Interactions results indicated that, Mpro/3CLpro/eucalyptol complexes forms hydrophobic interactions. ADMET studies provided guidelines and mechanistic scope for identification of potent anti-COVID 19 drug. Therefore, eucalyptol may represent potential herbal treatment to act as COVID-19 Mpro/3CLproinhibitor, a finding which must be validated in vivo.

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 Discrete Functions of TRAF1 and TRAF2 in Drosophila melanogaster Mediated by c-Jun N-Terminal Kinase and NF-κB-Dependent Signaling Pathways

2003 ◽  
Vol 23 (22) ◽  
pp. 7982-7991 ◽  
Author(s):  
Guang-Ho Cha ◽  
Kyoung Sang Cho ◽  
Jun Hee Lee ◽  
Myungjin Kim ◽  
Euysoo Kim ◽  
...  
Keyword(s):  
Drosophila Melanogaster ◽  
Signaling Pathways ◽  
Nuclear Translocation ◽  
Genetic Interaction ◽  
Ectopic Expression ◽  
Tumor Necrosis Factor Receptor ◽  
Null Mutant ◽  
Microbial Infection ◽  
Jnk Pathway

ABSTRACT Two Drosophila tumor necrosis factor receptor-associated factors (TRAF), DTRAF1 and DTRAF2, are proposed to have similar functions with their mammalian counterparts as a signal mediator of cell surface receptors. However, their in vivo functions and related signaling pathways are not fully understood yet. Here, we show that DTRAF1 is an in vivo regulator of c-Jun N-terminal kinase (JNK) pathway in Drosophila melanogaster. Ectopic expression of DTRAF1 in the developing eye induced apoptosis, thereby causing a rough-eye phenotype. Further genetic interaction analyses revealed that the apoptosis in the eye imaginal disc and the abnormal eye morphogenesis induced by DTRAF1 are dependent on JNK and its upstream kinases, Hep and DTAK1. In support of these results, DTRAF1-null mutant showed a remarkable reduction in JNK activity with an impaired development of imaginal discs and a defective formation of photosensory neuron arrays. In contrast, DTRAF2 was demonstrated as an upstream activator of nuclear factor-κB (NF-κB). Ectopic expression of DTRAF2 induced nuclear translocation of two Drosophila NF-κBs, DIF and Relish, consequently activating the transcription of the antimicrobial peptide genes diptericin, diptericin-like protein, and drosomycin. Consistently, the null mutant of DTRAF2 showed immune deficiencies in which NF-κB nuclear translocation and antimicrobial gene transcription against microbial infection were severely impaired. Collectively, our findings demonstrate that DTRAF1 and DTRAF2 play pivotal roles in Drosophila development and innate immunity by differentially regulating the JNK- and the NF-κB-dependent signaling pathway, respectively.

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
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