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Identification of Inhibitors against Hemagglutinin from the H5N1 Influenza Virus

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Title: Identification of Inhibitors against Hemagglutinin from the H5N1 Influenza Virus


1
Identification of Inhibitors against
Hemagglutinin from the H5N1 Influenza Virus
  • The Ensemble based Virtual Screening approach
    with Relaxed Complex Scheme
  • Kevin Wu
  • CNIC, Beijing, China
  • August 16, 2008

2
Specific Aims
  • 1. RMSD cluster analysis of H5 using ptraj to
    generate representative snapshots of the H5
    hemagglutinins receptor binding domain from
    already compiled MD trajectories using NAMD
  • 2. Using these representative structures, perform
    virtual screening using an Autodock 4 web service
    (ws.nbcr.net) to screen against the NCI diversity
    set to identify top hits for further evaluation.
    The Virtual Screening results will be loaded into
    the Avian Influenza Virus virtual screening
    database developed and deployed at CNIC.
  • 3. Using the relaxed complex scheme (RCS), the
    top hits identified from virtual screening of the
    NCIDS will be redocked to all of the H5 cluster
    representatives. These results will be rescored
    using the weighted harmonic means method in order
    to generate a more comprehensive and reliable set
    of results.

3
Current Progress
  • Since my last report, I have begun to experiment
    with docking disaccharides through Autodock
  • To help save myself the trouble manually editing
    each docking parameter file to vary the
    parameters that allow for an accurate redocking.
    I wrote a bash script that loops from an user
    determined start to end value by an increment
  • By using this script that I wrote, this allows me
    to vary only one parameter, so that I can
    accurately analyze the improvement of increasing
    and decreasing each parameter
  • One of the features I have added is that after
    docking, it will generate both the conformation
    of the lowest energy ligand in the largest
    cluster as well as all of the conformations of
    the ligands in the docking log file. It will then
    calculate RMSD of each conformation against the
    original crystal pdb ligand file and write the
    values to separate text files which are then
    sorted by RMSD value

4
Results
  • By using this convenient script Ive written,
    Ive been able to test hundreds of redockings
    with different variations and quickly evaluating
    results via RMSD. However, I recently found that
    by using RMSD values of only the largest
    clusters lowest energy ligand, I disregard
    results of other potentially useful clusters
  • With the data Ive gathered from using only the
    largest clusters lowest energy, most of it does
    not make much sense to me, further evaluations
    and analysis will be needed. The RMSD values will
    make more sense with further analysis of the dlg
    files by visualization in autodocktools
  • However, I have successfully redocked sialic acid
    back into a hemagglutinin receptor (PDB ID 1jsn)
    with a relatively low RMSD (lt 2.0).

5
Next Week
  • Improvement on the script is still being made to
    further better organization of the generated
    information. Also, adding functionality to
    generate all RMSD value of all clusters will
    still need to be implemented
  • Excel graphs will be made of the RMSD values to
    visualize them and to try and make further sense
    of the data in order to try to change the correct
    parameters to allow for redocking of
    disaccharides and possibly trisaccharides
  • Upon correctly redocking of the sialic acid-gal
    disaccharide, I will attempt virtual screening of
    the 1jsn crystal structure with the NCI diversity
    set

6
Successes!
  • One of my biggest successes has been thinking up
    the script that allows multiple submissions with
    with different parameters
  • If this script had not been written up, I could
    have spent hours submitting jobs manually
  • However, this was also due to the fact that I had
    read extensively about shell scripting and sed
    which led me to this idea
  • One of the current successes that I have had is
    redocking sialic acid back into the hemagglutinin
    receptor 1jsn

7
Cultural Experiences
Top Left Beach Volleyball,
USA vs. Switzerland Top Right American fans at
Beach Volleyball game Middle
Right Qianmen gate at night Middle Left Eating
Peking Duck at Da Dong Bottom Lotus at Old
Summer Palace
8
Acknowledgements
  • Dr. Wilfred Li, Dr. Dong Xu, Dr. Rommie Amaro,
    Lily Cheng, and Hsing Pao for helping me fully
    understand my project and for giving me direction
  • Dr. Nan Kai, Dr. Zhonghua Lu, and Dr. Jianjun Yu
    for hosting and mentoring me at CNIC
  • Guangyuan Lu and Yanhua Sun for help with the
    various computing and scripting problems Ive had
  • Haiyan Xu and Wei Chen for arranging PRIME at
    CNIC
  • Dr. Gabriele Wienhausen, Dr. Peter Arzberger,
    Teri Simas, and Tricia Taylor Oliveira for
    allowing PRIME to happen
  • The NSF, Calit2, and PRIME for this wonderful
    opportunity!
  • Michael Wang for the great experiences and
    companionship
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