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Howard University:
Center for Computational Biology & Bioinformatics
Biochemistry & Molecular   Chemistry   NHGC   Sys & Comp
Biology                                       Science
H st or i cal D
 i             evel opment of t he
CB…
 CB
1989 Faculty Research Laboratory
MD/MM

1995 Faculty Research Laboratory
MD/MM, QSAR


1997 Laboratory of Molecular Computations (LMC)
MD/MM, QSAR


2003 Laboratory of Molecular Computations & Bioinformatics (LMCB)
MD/MM, QSAR, Comp. Chemistry, Statistical Genetics & Bioinformatics


2006 Center for Computational Biology & Bioinformatics (CCBB)
MD/MM, QSAR, Comp. Chemistry, Statistical Genetics & Bioinformatics, other
R i onal e and N
     at             eed f or t he C B
                                   CB


The Howard University Strategic Framework for Action II (SFAII)



•   Encourage the interaction among
    mathematicians, scientists
    (biomedical, chemists, biologists,
    physicists, engineers), and
    computer-based scientists in the
    resolution of complex disease
    processes.

•   Encourage multi-disciplinary
    approaches to research.
CCBB Re s i d e nt Pe r s o nne l …
2003- 2008
       Dr. William M. Southerland   Dr. Zengjian Hu
       Professor & Director         Res. Assistant Professor
       Molecular modeling           Molecular modeling
       molecular dynamics           molecular dynamics
                                    virtual database development
                                    virtual ligand screening



        Dr. Yayin Fang              Mr. Guy Lingani
        Res. Assistant Professor    Lab/IT Manager
        Molecular dynamics           System/network administrator
        ab initio calculations.      Laboratory Manager




        Mr. Joseph Gill             Dr. Qingqi Yue
        Research Assistant          Research Associate
        Computer science,           Analysis of genetic data and
        hardware cluster            computer programming for
        development                 genetics data analysis.
Howard University: Center for Computational Biology and Bioinformatics
CCBB Compute Resources
                                                               Year
                                            # of              Installe
       Resource Type          Processors   Nodes   # of CPU's    d       Gflops

SGI Origin 200 Rack Mounted    180 MHz         3            6    2000        2.16
SGI Indigo2 (joy2)              75 MHz         1            1    2002        0.15
SGI Indigo (joy)                75 MHz         1            1    2002        0.15
SGI Octane2 (joy4)             195 MHz         2            2    2002        0.78
SGI Octane2 (joy5)             250 MHz         2            3    2002           1
SGI Tezro dual cpu's           800 MHz         3            6    2004         9.6
SGI Fuel                       800 MHz         1            1    2004         1.6
Linux Cluster dual cpu's
(biocluster)                  3.20 GHz         7          14     2004        89.6
Linux Cluster (Bio2001 &
Bio2003)                      3.20 GHz         2            4    2004        25.6
Linux Quad Cluster Dual
CPU’s (bee)                   3.20 GHz         7          56     2006       291.2
Linux cluster (elephant)      3.20 GHz         1           4     2007        25.6
                                                                         447.44
                                            30                            Total
                                           Nodes   98 CPU 's             Gflops
C B -H N
 C B U et Cont ext …
CCBB Network Design…
Howard University: Center for Computational Biology and Bioinformatics
Cent er f or C put at i onal
               om
B ol ogy & B oi nf or m i cs…
 i           i         at
(C B )
   CB
 Protein targeted drug design
 QSAR structure design
 Genome based drug design
 New biomaterial design
 Statistical genetics
 Classification of protein folds
 Prediction of domain boundaries in proteins
   Development of inter-residues contacts database
 Prediction of protein inter-residue contact clusters maps
 Virtual high throughput ligand screening
 @Howard University, Medicinal                  Indiana University-Purdue
 Chemistry, Pharmacology, Dentistry,            University Indianapolis, Texas
 Cancer Center, Systems & Computer              A&M University-Corpus
 Sciences                                       Christi
Resour ce Shar i ng…




   Center for
                    Statistical    National Human
 Computational                     Genome Center
   Biology &        Genetics &
 Bioinformatics   Bioinformatics     Personnel
                                     Software
   Hardware
Resour ce Shar i ng… Cont ’d


                   Computational
                    Proteomics


    Center for                     Department of
  Computational                     Systems &
    Biology &                        Computer
  Bioinformatics                      Sciences
                                      Personnel
     Hardware
                                      Software
I nt er act i on W t h O her H
                  i     t     U
Faci l i t i es…

Howard University Imaging Facility


National Human Genome Center (NHGC)


General Clinical Research Center (GCRC)
I m ng I nf or m i cs Suppor t
   agi           at
Act i vi t i es…


 Molecular design for targeted nanoparticles

 Computational support for image resolution
  and refinement
CCBB                GCRC                     NHGC

       IT Support for CCBB, GCRC, and NHGC
Exam e of R
        pl     esear ch pr oj ect




Salvianolic acid B as a targeting agent
for development of a Cox-2 targeted
therapy for drug resistant head and
neck cancer




                                                               Barnase thermal titration Via
                                                               MD simulation – detection of
                                                               early denaturation sites
3D-QSAR study of novel
anticonvulsant enaminones
                                          Small Molecule DNA Recognition
Molecular Dynamics Simulation of
  Netropsin Binding to DNA:
   Genome-Base Drug Design
Netropsin


               +

                   DNA



5’-CGCGAATTCGCG-3’
       ********
3’-GCGCTTAAGCGC-5’
5’-CTTAATTCGAATTAAG-3’
                                 3’-GAATTAAGCTTAATTC-5’




N-terminal fragment of Moloney
murine leukemia virus (NMLV)
Reverse Transcriptase (RT)
                                 Netropsin
Systems calculated

                        16 base pairs of d(CTTAATTCGAATTAAG)2
Free DNA




Free Netrospin          Netropsin molecule only




                        Two netropsin molecules bound in the minor groove
DNA Netrospin complex   of DNA d(CTTAATTCGAATTAAG)2
74.68×70.86×48.997 (Angstroms3)   6109 waters
Binding Orientation
    5’-CTTAATTCGAATTAAG-3’
          A G G A
    3’-GAATTAAGCTTAATTC-5’



     Amidinium




Guanidiniu
m
Comparison of RMS deviation of free
DNA and DNA in Complex
D i ni t i on of t he w dt h
 ef                    i
of D A m nor gr oove
    N      i


                                          Dis1
                                          Dis2
                                          Dis3
                                          Dis4
                                          Dis5
                                          Dis6
                                          Dis7
                                          Dis8
Closest distance between two phosphates
                                          Dis9
on different strands of DNA cross the
minor groove.                             Dis10
                                          Dis1
                                          1
                                          Dis12
Howard University: Center for Computational Biology and Bioinformatics
Width of the minor groove of DNA in
complex with Netropsin




                           NT1        Dis 2



                                      Dis 5



                                      Dis 7

                            NT2

                                      Dis 11
BI: 120 ≤ ε ≤ 210 and 235 ≤ ζ ≤ 295   BII: 210 ≤ ε ≤ 300 and 150 ≤ ζ ≤ 210
DNA in Complex   Free DNA
H-bond



         NT1




         NT2
Binding Energy
 EComplex               EDNA-Free                 ENetropsin-Free      ∆E

 1690.17                4533.28                   -10.964              -2821.18

 ∆ E = EComplex – EDNA-Free – 2*ENetropsin-Free



 EComplex               EDNA-In-Complex           ELigand-In-Complex   ∆E

 1690.17                4516.13                   38.97                -2864.93

 ∆ E = EComplex – EDNA-In-Complex –E(NT1+NT2)-In-Complex
Summary

1.   Molecular dynamic simulation show that the
     properties of the ligand and DNA contribute to the
     DNA-ligand binding.

3.   The study can be used to design and develop new
     anti-tumor agent that will be able to selectively
     bound to the specific A/T or, in the future, G/C rich
     regions of DNA.
Acknow edgem s…
      l     ent
This work is supported by 2 G12 RR003048 from the
RCMI Program, Division of Research Infrastructure,
National Center for Research Resources, NIH

Dr. William M Southerland       Dr. Legand Burge
Dr. Vernon R. Morris            Dr. Chunmei Liu
Dr. Zengjian Hu                 Dr. Eugene Billiot
Mr. Guy Lingani                 Dr. Qingqi Yue
Dr. George Bonney               Dr. Angela Jackson
Dr. Eric C. Long                Dr. Kenneth R. Scott
Dr. Xinbin Gu                   Dr. Patrice Jackson
Dr. Tadasha Culbreath           Mr. Donnell Scott
Thank you from….CCBB
Howard University

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Howard University: Center for Computational Biology and Bioinformatics

  • 1. Howard University: Center for Computational Biology & Bioinformatics
  • 2. Biochemistry & Molecular Chemistry NHGC Sys & Comp Biology Science
  • 3. H st or i cal D i evel opment of t he CB… CB 1989 Faculty Research Laboratory MD/MM 1995 Faculty Research Laboratory MD/MM, QSAR 1997 Laboratory of Molecular Computations (LMC) MD/MM, QSAR 2003 Laboratory of Molecular Computations & Bioinformatics (LMCB) MD/MM, QSAR, Comp. Chemistry, Statistical Genetics & Bioinformatics 2006 Center for Computational Biology & Bioinformatics (CCBB) MD/MM, QSAR, Comp. Chemistry, Statistical Genetics & Bioinformatics, other
  • 4. R i onal e and N at eed f or t he C B CB The Howard University Strategic Framework for Action II (SFAII) • Encourage the interaction among mathematicians, scientists (biomedical, chemists, biologists, physicists, engineers), and computer-based scientists in the resolution of complex disease processes. • Encourage multi-disciplinary approaches to research.
  • 5. CCBB Re s i d e nt Pe r s o nne l … 2003- 2008 Dr. William M. Southerland Dr. Zengjian Hu Professor & Director Res. Assistant Professor Molecular modeling Molecular modeling molecular dynamics molecular dynamics virtual database development virtual ligand screening Dr. Yayin Fang Mr. Guy Lingani Res. Assistant Professor Lab/IT Manager Molecular dynamics System/network administrator ab initio calculations. Laboratory Manager Mr. Joseph Gill Dr. Qingqi Yue Research Assistant Research Associate Computer science, Analysis of genetic data and hardware cluster computer programming for development genetics data analysis.
  • 7. CCBB Compute Resources Year # of Installe Resource Type Processors Nodes # of CPU's d Gflops SGI Origin 200 Rack Mounted 180 MHz 3 6 2000 2.16 SGI Indigo2 (joy2) 75 MHz 1 1 2002 0.15 SGI Indigo (joy) 75 MHz 1 1 2002 0.15 SGI Octane2 (joy4) 195 MHz 2 2 2002 0.78 SGI Octane2 (joy5) 250 MHz 2 3 2002 1 SGI Tezro dual cpu's 800 MHz 3 6 2004 9.6 SGI Fuel 800 MHz 1 1 2004 1.6 Linux Cluster dual cpu's (biocluster) 3.20 GHz 7 14 2004 89.6 Linux Cluster (Bio2001 & Bio2003) 3.20 GHz 2 4 2004 25.6 Linux Quad Cluster Dual CPU’s (bee) 3.20 GHz 7 56 2006 291.2 Linux cluster (elephant) 3.20 GHz 1 4 2007 25.6 447.44 30 Total Nodes 98 CPU 's Gflops
  • 8. C B -H N C B U et Cont ext …
  • 11. Cent er f or C put at i onal om B ol ogy & B oi nf or m i cs… i i at (C B ) CB Protein targeted drug design QSAR structure design Genome based drug design New biomaterial design Statistical genetics Classification of protein folds Prediction of domain boundaries in proteins Development of inter-residues contacts database Prediction of protein inter-residue contact clusters maps Virtual high throughput ligand screening @Howard University, Medicinal Indiana University-Purdue Chemistry, Pharmacology, Dentistry, University Indianapolis, Texas Cancer Center, Systems & Computer A&M University-Corpus Sciences Christi
  • 12. Resour ce Shar i ng… Center for Statistical National Human Computational Genome Center Biology & Genetics & Bioinformatics Bioinformatics Personnel Software Hardware
  • 13. Resour ce Shar i ng… Cont ’d Computational Proteomics Center for Department of Computational Systems & Biology & Computer Bioinformatics Sciences Personnel Hardware Software
  • 14. I nt er act i on W t h O her H i t U Faci l i t i es… Howard University Imaging Facility National Human Genome Center (NHGC) General Clinical Research Center (GCRC)
  • 15. I m ng I nf or m i cs Suppor t agi at Act i vi t i es…  Molecular design for targeted nanoparticles  Computational support for image resolution and refinement
  • 16. CCBB GCRC NHGC IT Support for CCBB, GCRC, and NHGC
  • 17. Exam e of R pl esear ch pr oj ect Salvianolic acid B as a targeting agent for development of a Cox-2 targeted therapy for drug resistant head and neck cancer Barnase thermal titration Via MD simulation – detection of early denaturation sites 3D-QSAR study of novel anticonvulsant enaminones Small Molecule DNA Recognition
  • 18. Molecular Dynamics Simulation of Netropsin Binding to DNA: Genome-Base Drug Design
  • 19. Netropsin + DNA 5’-CGCGAATTCGCG-3’ ******** 3’-GCGCTTAAGCGC-5’
  • 20. 5’-CTTAATTCGAATTAAG-3’ 3’-GAATTAAGCTTAATTC-5’ N-terminal fragment of Moloney murine leukemia virus (NMLV) Reverse Transcriptase (RT) Netropsin
  • 21. Systems calculated 16 base pairs of d(CTTAATTCGAATTAAG)2 Free DNA Free Netrospin Netropsin molecule only Two netropsin molecules bound in the minor groove DNA Netrospin complex of DNA d(CTTAATTCGAATTAAG)2
  • 23. Binding Orientation 5’-CTTAATTCGAATTAAG-3’ A G G A 3’-GAATTAAGCTTAATTC-5’ Amidinium Guanidiniu m
  • 24. Comparison of RMS deviation of free DNA and DNA in Complex
  • 25. D i ni t i on of t he w dt h ef i of D A m nor gr oove N i Dis1 Dis2 Dis3 Dis4 Dis5 Dis6 Dis7 Dis8 Closest distance between two phosphates Dis9 on different strands of DNA cross the minor groove. Dis10 Dis1 1 Dis12
  • 27. Width of the minor groove of DNA in complex with Netropsin NT1 Dis 2 Dis 5 Dis 7 NT2 Dis 11
  • 28. BI: 120 ≤ ε ≤ 210 and 235 ≤ ζ ≤ 295 BII: 210 ≤ ε ≤ 300 and 150 ≤ ζ ≤ 210
  • 29. DNA in Complex Free DNA
  • 30. H-bond NT1 NT2
  • 31. Binding Energy EComplex EDNA-Free ENetropsin-Free ∆E 1690.17 4533.28 -10.964 -2821.18 ∆ E = EComplex – EDNA-Free – 2*ENetropsin-Free EComplex EDNA-In-Complex ELigand-In-Complex ∆E 1690.17 4516.13 38.97 -2864.93 ∆ E = EComplex – EDNA-In-Complex –E(NT1+NT2)-In-Complex
  • 32. Summary 1. Molecular dynamic simulation show that the properties of the ligand and DNA contribute to the DNA-ligand binding. 3. The study can be used to design and develop new anti-tumor agent that will be able to selectively bound to the specific A/T or, in the future, G/C rich regions of DNA.
  • 33. Acknow edgem s… l ent This work is supported by 2 G12 RR003048 from the RCMI Program, Division of Research Infrastructure, National Center for Research Resources, NIH Dr. William M Southerland Dr. Legand Burge Dr. Vernon R. Morris Dr. Chunmei Liu Dr. Zengjian Hu Dr. Eugene Billiot Mr. Guy Lingani Dr. Qingqi Yue Dr. George Bonney Dr. Angela Jackson Dr. Eric C. Long Dr. Kenneth R. Scott Dr. Xinbin Gu Dr. Patrice Jackson Dr. Tadasha Culbreath Mr. Donnell Scott