This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Thalidomide possesses unique immunosuppressive and anti-inflammatory properties that make it a promising drug for the treatment of cancers and other diseases. However, it also causes serious genetic damage, and the molecular-level details of its activity remains unknown. To elucidate the thermodynamics driving nucleic acid damage by thalidomide, we are conducting a computational study of the interaction between thalidomide and 12-bp polynucleotides (one full turn). Our preliminary results prove that although thalidomides arrangement of hydrogen bond donors and acceptors is similar to those in the bases of nucleic acids, the strength of the interaction is insufficient to compete with the Watson-Crick base pairing. Also, thalidomides benzene ring can slide between neighboring base pairs and interact favorably with DNA via pi-stacking, so we are confident that thalidomide interacts with nucleic acids via intercalation. We will use the MD module of the NWChem computational chemistry program equilibrate thalidomide-nucleic acid structures. The highly charged nature of nucleic acids requires up to 10 ns for full equilibration, which exceeds the limitations of our own computational resources. Our efforts will be benchmarked against experimental results which show that 1) guanine-rich regions are more susceptible to thalidomide damage, and 2) the S-enantiomer of thalidomide does more damage than the R-enantiomer. We expect that the structures of the bound systems will reflect this trend, and we will follow up with electrostatic and solvation free energy calculations that will quantify the binding of thalidomide to nucleic acids.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR006009-20
Application #
8171878
Study Section
Special Emphasis Panel (ZRG1-BCMB-Q (40))
Project Start
2010-08-01
Project End
2013-07-31
Budget Start
2010-08-01
Budget End
2013-07-31
Support Year
20
Fiscal Year
2010
Total Cost
$1,091
Indirect Cost
Name
Carnegie-Mellon University
Department
Biostatistics & Other Math Sci
Type
Schools of Arts and Sciences
DUNS #
052184116
City
Pittsburgh
State
PA
Country
United States
Zip Code
15213
Simakov, Nikolay A; Kurnikova, Maria G (2018) Membrane Position Dependency of the pKa and Conductivity of the Protein Ion Channel. J Membr Biol 251:393-404
Yonkunas, Michael; Buddhadev, Maiti; Flores Canales, Jose C et al. (2017) Configurational Preference of the Glutamate Receptor Ligand Binding Domain Dimers. Biophys J 112:2291-2300
Hwang, Wonmuk; Lang, Matthew J; Karplus, Martin (2017) Kinesin motility is driven by subdomain dynamics. Elife 6:
Earley, Lauriel F; Powers, John M; Adachi, Kei et al. (2017) Adeno-associated Virus (AAV) Assembly-Activating Protein Is Not an Essential Requirement for Capsid Assembly of AAV Serotypes 4, 5, and 11. J Virol 91:
Subramanian, Sandeep; Chaparala, Srilakshmi; Avali, Viji et al. (2016) A pilot study on the prevalence of DNA palindromes in breast cancer genomes. BMC Med Genomics 9:73
Ramakrishnan, N; Tourdot, Richard W; Radhakrishnan, Ravi (2016) Thermodynamic free energy methods to investigate shape transitions in bilayer membranes. Int J Adv Eng Sci Appl Math 8:88-100
Zhang, Yimeng; Li, Xiong; Samonds, Jason M et al. (2016) Relating functional connectivity in V1 neural circuits and 3D natural scenes using Boltzmann machines. Vision Res 120:121-31
Lee, Wei-Chung Allen; Bonin, Vincent; Reed, Michael et al. (2016) Anatomy and function of an excitatory network in the visual cortex. Nature 532:370-4
Murty, Vishnu P; Calabro, Finnegan; Luna, Beatriz (2016) The role of experience in adolescent cognitive development: Integration of executive, memory, and mesolimbic systems. Neurosci Biobehav Rev 70:46-58
Ramakrishnan, N; Radhakrishnan, Ravi (2015) Phenomenology based multiscale models as tools to understand cell membrane and organelle morphologies. Adv Planar Lipid Bilayers Liposomes 22:129-175

Showing the most recent 10 out of 292 publications