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Nature Structural Biology|July 15, 1999
Structure of the most conserved internal loop in SRP RNAU Schmitz, T L James, P Lukavsky, et al.RNA (New York, N.Y.)|December 2, 1999
Structure of the phylogenetically most conserved domain of SRP RNAU Schmitz, S Behrens, D M Freymann, et al.RNA (New York, N.Y.)|December 1, 1996
NMR studies of the most conserved RNA domain of the mammalian signal recognition particle (SRP)U Schmitz, D M Freymann, T L James, et al.Biochemistry|March 6, 1990
Deoxyribose conformation in [d(GTATATAC)]2: evaluation of sugar pucker by simulation of double-quantum-filtered COSY cross-peaksU Schmitz, G Zon, T L JamesJournal of Biomolecular NMR|September 1, 1993
Metropolis Monte Carlo calculations of DNA structure using internal coordinates and NMR distance restraints: an alternative method for generating a high-resolution solution structureN B Ulyanov, U Schmitz, T L JamesJournal of Molecular Biology|September 5, 1991
Solution structure of [d(GTATATAC)]2 via restrained molecular dynamics simulations with nuclear magnetic resonance constraints derived from relaxation matrix analysis of two-dimensional nuclear Overhauser effect experimentsU Schmitz, D A Pearlman, T L JamesBiophysical Journal|January 1, 1995
Probability assessment of conformational ensembles: sugar repuckering in a DNA duplex in solutionN B Ulyanov, U Schmitz, A Kumar, et al.Journal of Molecular Biology|November 20, 1993
Molecular dynamics with weighted time-averaged restraints for a DNA octamer. Dynamic interpretation of nuclear magnetic resonance dataU Schmitz, N B Ulyanov, A Kumar, et al.Journal of Molecular Biology|September 20, 1992
Solution structure of a DNA octamer containing the Pribnow box via restrained molecular dynamics simulation with distance and torsion angle constraints derived from two-dimensional nuclear magnetic resonance spectral fittingU Schmitz, I Sethson, W M Egan, et al.Biopolymers|October 1, 1998
Small structural ensembles for a 17-nucleotide mimic of the tRNA T psi C-loop via fitting dipolar relaxation rates with the quadratic programming algorithmU Schmitz, A Donati, T L James, et al.Pageof 71