scholarly journals In silico Study of tertiary structure and binding interaction of Profilin – Schizosaccharomyces pombe

2009 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Gangawane ak ◽  
◽  
Gomase VS ◽  
Anjali R ◽  
Patil CS
Keyword(s):  
Schizosaccharomyces Pombe ◽  
In Silico ◽  
Tertiary Structure ◽  
Binding Interaction ◽  
In Silico Study

scholarly journals IN SILICO STUDY OF APIGENIN AND APIGETRIN AS INHIBITOR OF 3-HYDROXY-3-METHYL-GLUTAYL-COENZYME A REDUCTASE

2017 ◽  
Vol 10 (11) ◽  
pp. 284
Author(s):  
Dwintha Lestari ◽  
Elin Yulinah Sukandar ◽  
Irda Fidrianny
Keyword(s):  
Binding Site ◽  
Binding Affinity ◽  
In Silico ◽  
Coenzyme A ◽  
Inhibition Constant ◽  
Two Dimensional ◽  
Binding Interaction ◽  
Docking Result ◽  
Binding Process ◽  
In Silico Study

  Objective: The objectives of this research were to investigate in silico interaction between apigenin and apigetrin with 3-hydroxy-3-methyl-glutayl-coenzyme A (HMG Co-A) reductase, to find the most favorable binding site as well as to predict the binding mode.Materials and Methods: Docking calculation was performed by branded Sony Vaio PC Linux Ubuntu 14.04 LTS. The binding process based on the best docking result with HMG Co-A reductase was presented in two-dimensional diagram. Statin, atorvastatin, and R-mevalonate were used as standard.Results: Binding affinity and inhibition constant of R-mevalonate were Ei=−4.2 kcal/mol, Ki=836.78 μM; apigenin Ei=−7.0 kcal/mol, Ki=7.43 μM; apigetrin Ei=−5.9 kcal/mol, Ki=47.53 μM; simvastatin Ei=−8.2 kcal/mol; Ki=0.98 μM; atorvastatin Ei=−8.4 kcal/mol; Ki=0.7 μM. Apigenin had better binding interaction than apigetrin.Conclusion: Apigenin could be developed as anticholesterol.

scholarly journals Toxoplasma gondii Tyrosine-Rich Oocyst Wall Protein: A Closer Look through an In Silico Prism

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Ali Asghari ◽  
Hamidreza Majidiani ◽  
Taher Nemati ◽  
Mohammad Fatollahzadeh ◽  
Morteza Shams ◽  
...  
Keyword(s):  
Toxoplasma Gondii ◽  
T Lymphocyte ◽  
Signal Peptide ◽  
In Silico ◽  
Structure Prediction ◽  
Tertiary Structure ◽  
Transmembrane Domain ◽  
Protein A ◽  
Oocyst Wall ◽  
In Silico Study

Toxoplasmosis is a global threat with significant zoonotic concern. The present in silico study was aimed at determination of bioinformatics features and immunogenic epitopes of a tyrosine-rich oocyst wall protein (TrOWP) of Toxoplasma gondii. After retrieving the amino acid sequence from UniProt database, several parameters were predicted including antigenicity, allergenicity, solubility and physico-chemical features, signal peptide, transmembrane domain, and posttranslational modifications. Following secondary and tertiary structure prediction, the 3D model was refined, and immunogenic epitopes were forecasted. It was a 25.57 kDa hydrophilic molecule with 236 residues, a signal peptide, and significant antigenicity scores. Moreover, several linear and conformational B-cell epitopes were present. Also, potential mouse and human cytotoxic T-lymphocyte (CTL) and helper T-lymphocyte (HTL) epitopes were predicted in the sequence. The findings of the present in silico study are promising as they render beneficial characteristics of TrOWP to be included in future vaccination experiments.

In Silico Study of Structural and Geometrical Requirements of Natural Sesquiterpene Lactones with Trypanocidal Activity

2013 ◽  
Vol 13 (10) ◽  
pp. 1407-1414 ◽  
Author(s):  
L. Fabian ◽  
V. Sulsen ◽  
F. Frank ◽  
S. Cazorla ◽  
E. Malchiodi ◽  
...  
Keyword(s):  
In Silico ◽  
Sesquiterpene Lactones ◽  
Trypanocidal Activity ◽  
In Silico Study

In Silico Study of 1, 4 Alpha Glucan Branching Enzyme and Substrate Docking Studies

2020 ◽  
Vol 17 (1) ◽  
pp. 40-50
Author(s):  
Farzane Kargar ◽  
Amir Savardashtaki ◽  
Mojtaba Mortazavi ◽  
Masoud Torkzadeh Mahani ◽  
Ali Mohammad Amani ◽  
...  
Keyword(s):  
Phylogenetic Tree ◽  
In Silico ◽  
Alpha Helix ◽  
In Silico Analysis ◽  
Glycogen Storage ◽  
Docking Studies ◽  
Random Coil ◽  
Special Topic ◽  
Industrial Biotechnology ◽  
In Silico Study

Background: The 1,4-alpha-glucan branching protein (GlgB) plays an important role in the glycogen biosynthesis and the deficiency in this enzyme has resulted in Glycogen storage disease and accumulation of an amylopectin-like polysaccharide. Consequently, this enzyme was considered a special topic in clinical and biotechnological research. One of the newly introduced GlgB belongs to the Neisseria sp. HMSC071A01 (Ref.Seq. WP_049335546). For in silico analysis, the 3D molecular modeling of this enzyme was conducted in the I-TASSER web server. Methods: For a better evaluation, the important characteristics of this enzyme such as functional properties, metabolic pathway and activity were investigated in the TargetP software. Additionally, the phylogenetic tree and secondary structure of this enzyme were studied by Mafft and Prabi software, respectively. Finally, the binding site properties (the maltoheptaose as substrate) were studied using the AutoDock Vina. Results: By drawing the phylogenetic tree, the closest species were the taxonomic group of Betaproteobacteria. The results showed that the structure of this enzyme had 34.45% of the alpha helix and 45.45% of the random coil. Our analysis predicted that this enzyme has a potential signal peptide in the protein sequence. Conclusion: By these analyses, a new understanding was developed related to the sequence and structure of this enzyme. Our findings can further be used in some fields of clinical and industrial biotechnology.

In silico approach for designing a novel recombinant fusion protein as a Candidate Vaccine against HPV

2020 ◽  
Vol 17 ◽  
Author(s):  
Mohsen Sisakht ◽  
Amir Mahmoodzadeh ◽  
Mohammadsaeid Zahedi ◽  
Davood Rostamzadeh ◽  
Amin Moradi Hasan-Abad ◽  
...  
Keyword(s):  
Immune Responses ◽  
Fusion Protein ◽  
In Silico ◽  
Precancerous Lesions ◽  
Candidate Vaccine ◽  
T Cell Epitopes ◽  
Binding Interaction ◽  
Hpv16 E6 ◽  
E7 Proteins

Background: Human papillomavirus (HPV) is the main biological agent causing sexually transmitted diseases (STDs), including precancerous lesions and several types of prevalent cancers. To date, numerous types of vaccines are designed to prevent high-risk HPV. However, their prophylactic effect is not the same and does not clear previous infections. Therefore, there is an urgent need for developing therapeutic vaccines that trigger cell-mediated immune responses for the treatment of HPV. The HPV16 E6 and E7 proteins are ideal targets for vaccine therapy against HPV. Fusion protein vaccines, which include both immunogenic interest protein and an adjuvant for augmenting the immunogenicity effects, are theoretically capable of guarantee the power of the immune system against HPV. Method: A vaccine construct, including HPV16 E6/E7 proteins along with a heat shock protein GP96 (E6/E7-NTGP96 construct), was designed using in silico methods. By the aid of the SWISS-MODEL server, the optimal 3D model of the designed vaccine was selected, followed by physicochemical and molecular parameters were performed using bioinformatics tools. Docking studies were done to evaluate the binding interaction of the vaccine. Allergenicity, immunogenicity, B, and T cell epitopes of the designed construct were predicted. Results: Immunological and structural computational results illustrated that our designed construct is potentially proper for stimulation of cellular and humoral immune responses against HPV. Conclusion: Computational studies showed that the E6/E7-NTGP96 construct is a promising candidate vaccine that needs further in vitro and in vivo evaluations.

Exploring PLAC1 Structure and Underlying Mechanisms to Design a Derivative Vaccine Against Breast Cancer Progression; In-Silico Study

2020 ◽  
Vol 17 (5) ◽  
pp. 379-391
Author(s):  
Farzaneh Afzali ◽  
Parisa Ghahremanifard ◽  
Mohammad Mehdi Ranjbar ◽  
Mahdieh Salimi
Keyword(s):  
Breast Cancer ◽  
Cancer Progression ◽  
In Silico ◽  
Tertiary Structure ◽  
Specific Antigen ◽  
Docking Simulation ◽  
Post Translational Modification ◽  
Intrinsically Disordered ◽  
Intrinsically Disordered Regions ◽  
Underlying Mechanisms

Background: The tolerogenic homeostasis in Breast Cancer (BC) can be surpassed by rationally designed immune-encouraging constructs against tumor-specific antigens through immunoinformatics approach. Objective: Availability of high throughput data providing the underlying concept of diseases and awarded computational simulations, lead to screening the potential medications and strategies in less time and cost. Despite the extensive effects of Placenta Specific 1 (PLAC1) in BC progression, immune tolerance, invasion, cell cycle regulation, and being a tumor-specific antigen the fundamental mechanisms and regulatory factors were not fully explored. It is also worth to design an immune response inducing construct to surpass the hurdles of traditional anti-cancer treatments. Methods and Result: The study was initiated by predicting and modelling the PLAC1 secondary and tertiary structures and then engineering the fusion pattern of PLAC1 derived immunodominant predicted CD8+ and B-cell epitopes to form a multi-epitope immunogenic construct. The construct was analyzed considering the physiochemical characterization, safety, antigenicity, post-translational modification, solubility, and intrinsically disordered regions. After modelling its tertiary structure, proteinprotein docking simulation was carried out to ensure the attachment of construct with Toll-Like Receptor 4 (TLR4) as an immune receptor. To guarantee the highest expression of the designed construct in E. coli k12 as an expressional host, the codon optimization and in-silico cloning were performed. The PLAC1 related miRNAs in BC were excavated and validated through TCGA BC miRNA-sequencing and databases; the common pathways then were introduced as other probable mechanisms of PLAC1 activity. Conclusion: Regarding the obtained in-silico results, the designed anti-PLAC1 multi-epitope construct can probably trigger humoral and cellular immune responses and inflammatory cascades, therefore may have the potential of halting BC progression and invasion engaging predicted pathways.

In Silico Study of Ethylene Biosynthesis: Seeking New Effectors of ACC Synthase and ACC Oxidase

2016 ◽  
Vol 11 (3) ◽  
pp. 346-356
Author(s):  
Nada Ayadi ◽  
Sarra Aloui ◽  
Rabeb Shaiek ◽  
Oussama Rokbani ◽  
Faten Raboud ◽  
...  
Keyword(s):  
In Silico ◽  
Acc Oxidase ◽  
Acc Synthase ◽  
Ethylene Biosynthesis ◽  
In Silico Study

In Silico Identification of a Potent Arsenic Based Approved Drug Darinaparsin against SARS-CoV-2: Inhibitor of RNA Dependent RNA polymerase (RdRp) and Essential Proteases

2020 ◽  
Vol 20 ◽  
Author(s):  
Trinath Chowdhury ◽  
Gourisankar Roymahapatra ◽  
Santi M. Mandal
Keyword(s):  
Rna Polymerase ◽  
Viral Entry ◽  
In Silico ◽  
Rna Dependent Rna Polymerase ◽  
Replication Complex ◽  
In Silico Study ◽  
Life Threatening ◽  
In Vivo Analysis ◽  
3Cl Protease

Background: COVID-19 is a life threatening novel corona viral infection to our civilization and spreading rapidly. Terrific efforts are generous by the researchers to search for a drug to control SARS-CoV-2. Methods: Here, a series of arsenical derivatives were optimized and analyzed with in silico study to search the inhibitor of RNA dependent RNA polymerase (RdRp), the major replication factor of SARS-CoV-2. All the optimized derivatives were blindly docked with RdRp of SARS-CoV-2 using iGEMDOCK v2.1. Results: Based on the lower idock score in the catalytic pocket of RdRp, darinaparsin (-82.52 kcal/mol) revealed most effective among them. Darinaparsin strongly binds with both Nsp9 replicase protein (-8.77 kcal/mol) and Nsp15 endoribonuclease (-8.3 kcal/mol) of SARS-CoV-2 as confirmed from the AutoDock analysis. During infection, the ssRNA of SARS-CoV2 is translated into large polyproteins forming viral replication complex by specific proteases like 3CL protease and papain protease. This is also another target to control the virus infection where darinaparsin also perform the inhibitory role to proteases of 3CL protease (-7.69 kcal/mol) and papain protease (-8.43 kcal/mol). Conclusion: In host cell, the furin protease serves as a gateway to the viral entry and darinaparsin docked with furin protease which revealed a strong binding affinity. Thus, screening of potential arsenic drugs would help in providing the fast invitro to in-vivo analysis towards development of therapeutics against SARS-CoV-2.

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