scholarly journals Computational studies on LiP H isolated from Ganoderma lucidum GD88

2015 ◽  
Vol 67 (3) ◽  
pp. 817-828
Author(s):  
Nayana Parambayil ◽  
Aiswarya Chenthamarakshan ◽  
Arinnia Anto ◽  
Sudha Hariharan ◽  
Padma Nambisan

Ganoderma lucidum is a basidiomycete fungus that produces ligninase for the modification of lignin. Lignin peroxidase (LiP) is a glycoprotein that acts on the recalcitrant cell wall component lignin. In the present study, the phylogenetic analysis of Ganoderma lucidum GD88 with the partial coding sequence (cds) of other LiP isoforms was performed using MEGA6. After determination of the open reading frame, the +3 frame nucleotide sequence was converted to protein using the EMBOSS Transseq and the secondary structure was predicted using the Chou and Fasman Secondary Structure Prediction server (CFSSP). Protein modeling was also performed by SWISS-MODEL. The obtained result shows that the lipH partial cds of Ganoderma lucidum GD88 is homologous to the lipD gene of Phanerochaete chrysosporium. The secondary structure prediction result revealed that the percent content of the helix (67) is higher than the percent contents of sheet (53.4) and turns (13.6). According to the generated model, LiP H protein is a homodimer with chains A and B. The heme acts as a ligand and plays a major role in structure stabilization.

2008 ◽  
Vol 36 (Web Server) ◽  
pp. W197-W201 ◽  
Author(s):  
C. Cole ◽  
J. D. Barber ◽  
G. J. Barton

2019 ◽  
Vol 16 (3) ◽  
pp. 246-253
Author(s):  
Anindya Sundar Panja ◽  
Bidyut Bandopadhyay ◽  
Akash Nag ◽  
Smarajit Maiti

Background: Our present investigation was conducted to explore the computational algorithm for the protein secondary structure prediction as per the property of evolutionary transient and large number (each 50) of homologous mesophilic-thermophilic proteins. </P><P> Objectives: These mesophilic-thermophilic proteins were used for numerical measurement of helix-sheetcoil and turn tendency for which each amino-acid residue is screened to build up the propensity-table. Methods: In the current study, two different propensity windows have been introduced that allowed predicting the secondary structure of protein more than 80% accuracy. Results: Using this propensity matrix and dynamic algorithm-based programme, a significant and decisive outcome in the determination of protein (both thermophilic and mesophilic) secondary structure was noticed over the previous algorithm based programme. It was demonstrated after comparison with other standard methods including DSSP adopted by PDB with the help of multiple comparisons ANOVA and Dunnett’s t-test. Conclusion: The PSSD is of great importance in the prediction of structural features of any unknown, unresolved proteins. It is also useful in the studies of proteins structure-function relationship.


1998 ◽  
Vol 14 (10) ◽  
pp. 892-893 ◽  
Author(s):  
J. A. Cuff ◽  
M. E. Clamp ◽  
A. S. Siddiqui ◽  
M. Finlay ◽  
G. J. Barton

2015 ◽  
Vol 43 (W1) ◽  
pp. W389-W394 ◽  
Author(s):  
Alexey Drozdetskiy ◽  
Christian Cole ◽  
James Procter ◽  
Geoffrey J. Barton

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