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. The field of MD on nucleic acids is now well into a second generation including solvent at ionic strengths relevant to in vitro experiments and in vivo phenomena. The results of MD on DNA are much improved, and provide a reasonable if not yet perfect description of nucleic acid dynamical structures in solution (Beveridge and McConnell 2000; Cheatham and Young 2001; MacKerell et al. 2000). In a larger sense, however, the field of MD on nucleic acids to date is a set of promising anecdotal cases. A broad range of studies, involving diverse sequences in both solution and crystalline conditions, must be carried out under tightly controlled simulation protocols and much extended run lengths so that ion motions are converged. Assessments of models must be carried to a higher level of resolution. This is newly feasible in the proposed project period. Agreement with experiment does not unequivocally prove a model is correct, so pushing MD models on DNA to failure or at least to the point of revealing limitations is essential to advance the science. At the same time, a number of issues of considerable interest in the structural biology of DNA, such as the nature of the hydration and ion atmosphere, sequence effects on structure and axis bending, the conformational landscape of the DNA double helix, structural adaptations of DNA on ligand binding and aspects of the relationship between dynamical structure and functional energetics are newly accessible to study by MD simulation. Thus, successful completion of the proposed research will lead to methodological improvements in simulation protocols and the informatics of analysis, advance our understanding of the dynamical structure of nucleic acids in solution, effects of sequence on DNA structure, conformational stability and axis bending important in molecular recognition processes, and contribute to an improved understanding of the thermodynamics of nucleic acid-ligand binding processes at the molecular level.

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
2P41RR006009-16A1
Application #
7358532
Study Section
Special Emphasis Panel (ZRG1-BCMB-Q (40))
Project Start
2006-09-30
Project End
2007-07-31
Budget Start
2006-09-30
Budget End
2007-07-31
Support Year
16
Fiscal Year
2006
Total Cost
$1,012
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:
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
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
Jurkowitz, Marianne S; Patel, Aalapi; Wu, Lai-Chu et al. (2015) The YhhN protein of Legionella pneumophila is a Lysoplasmalogenase. Biochim Biophys Acta 1848:742-51

Showing the most recent 10 out of 292 publications