Modelling and Characterization of Glial Fibrillary Acidic Protein

Glial Fibrillary Acidic Protein (GFAP) is an intermediate-filament (IF) protein that maintains the astrocytes of the Central Nervous System in Human. This is differentially expressed during serological studies in inflamed condition such as Rheumatoid Arthritis (RA). Therefore, it is of interest to glean molecular insight using a model of GFAP (49.88 kDa) due to its crystallographic nonavailability. The present study has been taken into consideration to construct computational protein model using Modeller 9.11. The structural relevance of the protein was verified using Gromacs 4.5 followed by validation through PROCHECK, Verify 3D, WHAT-IF, ERRAT and PROVE for reliability. The constructed three dimensional (3D) model of GFAP protein had been scrutinized to reveal the associated functions by identifying ligand binding sites and active sites. Molecular level interaction study revealed five possible surface cavities as active sites. The model finds application in further computational analysis towards drug discovery in order to minimize the effect of inflammation.     

Sequence analysis and homology modeling of laccase from Pycnoporus cinnabarinus

Industrial effluents of textile, paper, and leather industries contain various toxic dyes as one of the waste material. It imparts major impact on human health as well as environment. The white rot fungus Pycnoporus cinnabarinus Laccase is generally used to degrade these toxic dyes. In order to decipher the mechanism of process by which Laccase degrade dyes, it is essential to know its 3D structure. Homology modeling was performed in presented work, by satisfying Spatial restrains using Modeller Program, which is considered as standard in this field, to generate 3D structure of Laccase in unison, SWISSMODEL web server was also utilized to generate and verify the alternative models. We observed that models created using Modeller stands better on structure evaluation tests. This study can further be used in molecular docking techniques, to understand the interaction of enzyme with its mediators like 2, 2-azinobis (3-ethylbenzthiazoline-6-sulfonate) (ABTS) and Vanillin that are known to enhance the Laccase activity.     

A molecular model for diacylglycerol acyltransferase from Mortierella ramanniana var. angulispora

Acyl CoA diacylglycerol acyltransferase (DGAT, EC 2.3.120) is recognized as a key player of cellular diacylglycerol metabolism. It catalyzes the terminal, yet the committed step in triacylglycerol synthesis using diacylglycerol and fatty acyl CoA as substrates. The protein sequence of diacylglycerol acyltransferse (DGAT) Type 2B in Moretierella ramanniana var. angulispora (Protein_ID = {"type":"entrez-protein","attrs":{"text":"AAK84180.1","term_id":"15099961"}}AAK84180.1) was retrieved from GenBank. However, a structure is not yet available for this sequence. The 3D structure of DGAT Type 2B was modeled using a template structure (PDB ID: 1K30) obtained from Protein databank (PDB) identified by searching with position specific iterative BLAST (PSI-BLAST). The template (PDB ID: 1K30) describes the structure of DGAT from Cucurbita moschata. Modeling was performed using Modeller 9v2 and protein model is hence generated. The DGAT type 2B protein model was subsequently docked with six inhibitors (sphingosine; trifluoroperazine; phosphatidic acid; lysophospatidylserine; KCl; 1, 2-diolein) using AutoDock (a molecular docking program). The binding of inhibitors to the protein model of DGAT type 2B is discussed.     

In-silico homology modeling of three isoforms of insect defensins from the dengue vector mosquito, Aedes aegypti (Linn., 1762)

Dengue is a serious public health problem in tropical and subtropical countries. It is caused by any of the four serologically distinct dengue viruses, namely DENV1–4. The viruses are transmitted by Aedes mosquitoes. Understanding various defence mechanisms of insects has become a prime area of research worldwide. In insects, the first line of defence against invading pathogens includes cellular mechanisms and a battery of antimicrobial peptides such as defensins, cecropins etc. Defensins—cationic, cysteine-rich peptides consisting of ∼40 amino acids with broad-spectrum activity against Gram-positive bacteria—have been reported from a wide range of organisms. In the dengue vector mosquito, Aedes aegypti, three isoforms of defensins are reported to be expressed in a spatial and temporal fashion. This report presents the three-dimensional structures of the three isoforms of Ae. aegypti defensins predicted by comparative modeling. Prediction was done with Modeller 9v1 and the structures validated through a series of tests. The best results of the prediction study are presented, and may help lead to the discovery of new synthetic peptides or derivatives of defensins that could be useful in the control of vector-borne diseases.     

Homology modeling, active site prediction, and targeting the anti hypertension activity through molecular docking on endothelin - B receptor domain

In cardiovascular system, activation of Endothelin receptors causes vasoconstriction which leads to Pulmonary Arterial Hypertension (PAH). Endothelin receptor antagonism has emerged as an important therapeutic strategy in pulmonary arterial hypertension. Bosentan is intended to affect vasoconstriction, hypertrophic and fibrotic effects by blocking the actions of receptors ET(A) and ET(B). In this study we identified the action of Bosentan on endothelin B receptor using docking studies with homology modeled endothelin B receptor. Through the modeled protein, the flexible Docking study was performed with Bosentan and its derivatives with theoretically predicted active sites. The results indicated that amino acid ARG82, ARG84 and HIS197 present in endothelin B receptor are core important for binding activities and these residues are having strong hydrogen bond interactions with Bosentan. We have investigated the Bosentan and its derivatives interactions and scoring parameters using gold docking package. Among the docked compounds, one of the Bosentan derivatives BD(6) shows better interaction than Bosentan with endothelin B receptor. Our results may be helpful for further investigations in both in vivo and in vitro conditions.     

Impact of rapid urban expansion on green space structure

Rapid urban expansion has had a significant impact on green space structure. A wide variety of modelling approaches have been tested to simulate urban expansion; however, the effectiveness of simulations of the spatial structure of urban expansion remains unexplored. This study aims to model and predict urban expansion in three cities (Kuala Lumpur, Metro Manila and Jakarta), all experiencing rapid urban expansion, and to identify which are the main drivers, including spatial planning, in the resulting spatial patterns. Land Change Modeller (LCM)-Markov Chain models were used, parameterised on changes observed between 1988/1989 and 1999 and verified with the urban form observed for 2014. These models were then used to simulate urban expansion for the year 2030. The spatial structure of the simulated 2030 land use was then compared with the 2030 master plan for each city using spatial metrics. LCM-Markov Chain models proved to be a suitable method for simulating the development of future land use. There were also important differences in the projected spatial structure for 2030 when compared to the planned development in each city; substantive differences in the size, density, distance, shape and spatial pattern. Evidence suggests that these spatial patterns are influenced by the forms of rapid urban expansion experienced in these cities and respective master planning policies of the municipalities of the cities. The use of integrated simulation modelling and landscape ecology analytics supplies significant insights into the evolution of the spatial structure of urban expansion and identifies constraints and informs intervention for spatial planning and policies in cities.     

Variation in antimicrobial activity of lactoferricin-derived peptides explained by structure modelling

Antimicrobial peptides bovine lactoferricin (LfcinB) and human lactoferricin (LfcinH) are produced from the respective lactoferrin, but are more active than their precursors. Despite sequence homology, the bovine peptide and its derivatives are more active than their human homologs. Such differences between not only the peptides and their precursor but also between the bovine and the human peptides could relate to structural differences. Upon sequence alignment of both peptides with their parental proteins, the structural differences observed between the bovine lactoferrin (BLf) and LfcinB were also found between the human lactoferrin (HLf) and the LfcinH. The helical structures in HLf are replaced by beta-strands separated by a strong turn in LfcinH suggesting an antiparallel beta-sheet structure similar to LfcinB. MIC assays with HLP-2 and BLP-2, 11-residue peptides derived from the active core of both Lfcins, against Escherichia coli, showed that the bovine derivative, BLP-2, is more active than its human homolog HLP-2. Both 3D models for HLP-2 and BLP-2 showed that the beta-strand is centred between the aromatic residues giving both side chains the same orientations. The displacement towards the N-terminus observed for the beta-strand in HLP-2, compared with its central location in BLP-2, could be less favourable to membrane interaction and therefore responsible for the decrease in activity. Such a model suggests for LfcinH a mechanism similar to the one observed for LfcinB, where the absence of long-range interaction, present in lactoferrin, destabilises the first alpha helix, as observed in solution and, upon interaction with the membrane, could result in the formation of a beta-strand, as observed in the presence of LPS. The location of the beta-strand in relation to the positive charges, seems to define the efficiency of the activity of the peptide and may explain the difference in activity obtained between HLP-2 and BLP-2.     

Prediction of the three-dimensional structure of serine/threonine protein kinase pto of Solanum lycopersicum by homology modelling

The resistant gene Pto of Solanum lycopersicum interacts with the avr Pto gene product of the bacterial pathogen Pseudomonas syringae pv tomato to launch a cascade of molecular events that triggers the hypersensitive disease-resistance response in tamato. The paper describes attempts to predict the structure of Pto encoding a serine/threonine protein kinase to understand the mechanism and function. A three-dimensional model based on the crystal structure of effect protein Avr ptob complexed with Kinase Pto and bacterial effector protein Avrpto was generated using Modeller9v7. We adopted different modelling approaches for our study, Intialy, we generated a model based on a single template protein and then a model based on multiple templates. The models generated through these approaches were further assessed with ANOLEA energy assessment, Ram Page server and PROCHECK for stereochemistry and geometry check. Comparative analysis suggested that the model generated was better than the templates. This study paves the way for generating computer molecular models for proteins whose crystal structures are not available and which would aid in studying protein-protein interactions.     

A ClpP protein model as tuberculosis target for screening marine compounds

ATP-dependent Clp protease (ClpP) is a core unit of a major bacterial protease complex employing as a new attractive drug target for that isolates, which are resistant to antibiotics. Mycobacterium tuberculosis, a gram-positive bacterium, is one of the major causes of hospital acquired infections. ClpP in Mycobacterium tuberculosis is usually tightly regulated and strictly requires a member of the family of Clp-ATPase and often further accessory proteins for proteolytic activation. Inhibition of ClpP eliminates these safeguards and start proteolytic degradation. Such uncontrolled proteolysis leads to inhibition of bacterial cell division and eventually cell death. In order to inhibit Clp protease, at first three dimensional structure model of ClpP in Mycobacterium tuberculosis was determined by comparative homology modeling program MODELLER based on crystal structure of the proteolytic component of the caseinolytic Clp protease (ClpP) from E. coli as a template protein and has 55%sequence identity with ClpP protein. The computed model's energy was minimized and validated using PROCHECK to obtain a stable model structure and is submitted in Protein Model Database (PMDB-ID: PM0075741). Stable model was further used for virtual screening against marine derived bioactive compound database through molecular docking studies using AutoDock 3.05. The docked complexes were validated and enumerated based on the AutoDock Scoring function to pick out the best marine inhibitors based on docked Energy. Thus from the entire 186 Marine compounds which were Docked, we got best 5 of them with optimal docked Energy (Ara-A: -14.31 kcal/mol, Dysinosin C: - 14.90kcal/mol, Nagelamide A: -20.49 kcal/mol, Strobilin: -8.02 kcal/mol, Manoalide: -8.81 kcal/mol). Further the five best-docked complexes were analyzed through Python Molecular Viewer software for their interaction studies. Thus from the Complex scoring and binding ability its deciphered that these Marine compounds could be promising inhibitors for ClpP as Drug target yet pharmacological studies have to confirm it.