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Uniprot id P70922. Analysis of predicted structure vs found structure using Jpred, DeepView, swissmodel

Home Page: https://lpincus.github.io/bioinformatics-analysis-P70922/

HTML 38.19% JavaScript 61.81%

bioinformatics-analysis-p70922's Introduction

Bioinformatics Analysis P70922

Directions

BINF630/BIOL580/BINF401 Spring 2018.
Homework 2.
Due April 26, 2018.

Select one of the protein sequences from the list below (the first letter of the protein ID should be the same as the first letter of your last name or the closest to it). Predict secondary and three-dimensional structure for the selected sequence using an advanced secondary structure prediction algorithm and a homology modeling algorithm, respectively. Analyze the quality of your model using one of the structure validation or verification tools and identify structural classification of your model.

[FOR BINF630 AND BIOL580 STUDENTS ONLY: Compare predicted secondary structures with the secondary structures in 3D model.]

Proteins: A3ZYW9, D2R8U6, E8VHH5, F2B227, H8FDZ3, G2LWL6, K8G1J4, P70922, Q1N7D2, Q1NN20, Q5GY42, U4M247, Z4WQ39

Present the results of the modeling with description of all the steps and structure annotation in HTML format with interactive molecular visualization and alignment visualization tools and post the files on your binf webspace. Submit the URL by email with the string "b630_18_hw2" in the message subject line.

Methods Overview

  1. Protein Selected
  2. Secondary structure was predicted with jpred an advanced secondary structure prediction algorithm
  3. 3D structure was predicted with swissmodel, homology-modeling server
  4. Quality of Model was analyzed with swissmodel qmean
  5. html results and description presented in this repository binf.gmu.edu/lpincus/

Results

Protein Selection

"P70922" was searched in Uniprot. The protein sequance was found. The FASTA file is available at http://www.uniprot.org/uniprot/P70922.fasta

>tr|P70922|P70922_BACLI Pz-peptidase OS=Bacillus licheniformis OX=1402 PE=3 SV=1
MRNSCFFNWLESKKTRGITMAEEKKANQLPDRSEVKAEDTWRLEDIFPSDEAWNKEFQAV
KELIPNLSKYKGKLADSADHLYEALTYQDKVMERLGRLYTYAHMRSDQDTGNSFYQGLND
KAGNLYTQAASATAYLVPEILSIEEDKLQQFILEKEELKLYSHAIEEITKERPHVLSEKE
EALLAEASEVLGSSSNTFSVLNNADITFPSIKDEDGNEKQITHGNFINFLESENREVRKN
AFDAVYKTYGQYKNTMATTLSGTVKKDNFYARVKKYKSAREAALSNNSIPEEVYDNLVKT
INKHLPLLHRYIALRKKVLELDEVHIYDLYTPLVKDAGMKVTYEEAKDYMLKGLAPLGEE
YASILKEGLENRWVDVYENKGKRNGAYSSGAYGTNPYILMNWHNNVNNLFTLVHEFGHSV
HSYYTRKHQPYPYGNYSIFVAEVASTTNEALLGEYLLNNLEDEKQRLYILNHMLEGFRGT
VFRQTMFAEFEHLIHTKAQEGEPLTPELLTKVYYDLNKKYFGDGMVIDKEIGLEWSRIPH
FYYNYYVYQYATGYSAAQALSSQILKEGKPAVDRYIDFLKAGSSQYPIDVLKKAGVDMTS
PEPIEAACKMFEEKLDEMEELLMKVKQS

Secondary Structure with Jpred and JalView

Secondary structure for the protein was predicted with JPred, an advanced secondary structure prediction algorithm.

In both the secondary structures below

  • Green represents Beta Sheets
  • Red represents Alpha Helices
  • Black represents unconserved regions

Before programs like swissmodel the secondary structure was used to predict the 3D structure, see wikipedia.org/wiki/Protein_secondary_structure

Secondary Structure Jpred

Jalview was also used to obtain the same results.

Secondary Structure

3D Structure Prediction with swissmodel

The 3D structure was predicted with swissmodel. The results are given here: https://swissmodel.expasy.org/interactive/tXJyj5/models/

After the protein sequence was searched for the "Build Model" option was selected. The complete output was included in the generated report

Static Swissmodel Structure

<script type="text/javascript" src="JSmol.min.js"></script> <script type="text/javascript"> var Info = { color: "#E8F4FF", height: 500, width: 500, use: "HTML5" }; </script> <script type="text/javascript"> jmolApplet0 = Jmol.getApplet("jmolApplet", Info); Jmol.script(jmolApplet,"background white; load swiss-model-build/model/01/model.pdb; spin on;") </script>

spin

off

Analyze Quality of Model with QMEAN

Results of swissmodel qmean: https://swissmodel.expasy.org/qmean/project/7uXBD3/

The 3D results of the "QMEAN" are included

<script type="text/javascript"> var Info = { color: "#E8F4FF", height: 500, width: 500, use: "HTML5" }; </script> <script type="text/javascript"> jmolApplet1 = Jmol.getApplet("jmolQMEAN", Info); Jmol.script(jmolQMEAN,"background white; load qmean-results/model1/model_model_001/model.pdb; spin on;") </script>

spin

off

bioinformatics-analysis-p70922's People

Contributors

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