Citation: Yv. Bukhman et J. Skolnick, BioMolQuest: integrated database-based retrieval of protein structural andfunctional information (vol 17, pg 468, 2001), BIOINFORMAT, 17(8), 2001, pp. 759-759
Citation: Yv. Bukhman et J. Skolnick, BioMolQuest: integrated database-based retrieval of protein structural andfunctional information, BIOINFORMAT, 17(5), 2001, pp. 468-478
Authors:
Di Gennaro, JA
Siew, N
Hoffman, BT
Zhang, L
Skolnick, J
Neilson, LI
Fetrow, JS
Citation: Ja. Di Gennaro et al., Enhanced functional annotation of protein sequences via the use of structural descriptors, J STRUCT B, 134(2-3), 2001, pp. 232-245
Authors:
Fetrow, JS
Siew, N
Di Gennaro, JA
Martinez-Yamout, M
Dyson, HJ
Skolnick, J
Citation: Js. Fetrow et al., Genomic-scale comparison of sequence- and structure-based methods of function prediction: Does structure provide additional insight?, PROTEIN SCI, 10(5), 2001, pp. 1005-1014
Citation: H. Lu et J. Skolnick, A distance-dependent atomic knowledge-based potential for improved proteinstructure selection, PROTEINS, 44(3), 2001, pp. 223-232
Authors:
Kolinski, A
Betancourt, MR
Kihara, D
Rotkiewicz, P
Skolnick, J
Citation: A. Kolinski et al., Generalized comparative modeling (GENECOMP): A combination of sequence comparison, threading, and lattice modeling for protein structure prediction and refinement, PROTEINS, 44(2), 2001, pp. 133-149
Citation: Mr. Betancourt et J. Skolnick, Finding the needle in a haystack: Educing native folds from ambiguous ab initio protein structure predictions, J COMPUT CH, 22(3), 2001, pp. 339-353
Citation: D. Kihara et al., TOUCHSTONE: An ab initio protein structure prediction method that uses threading-based tertiary restraints, P NAS US, 98(18), 2001, pp. 10125-10130
Citation: D. Gront et al., A new combination of replica exchange Monte Carlo and histogram analysis for protein folding and thermodynamics, J CHEM PHYS, 115(3), 2001, pp. 1569-1574
Citation: Y. Zhang et J. Skolnick, Parallel-hat tempering: A Monte Carlo search scheme for the identificationof low-energy structures, J CHEM PHYS, 115(11), 2001, pp. 5027-5032
Citation: B. Ilkowski et al., Helix-coil and beta sheet-coil transitions in a simplified, yet realistic protein model, MACROMOL TH, 9(8), 2000, pp. 523-533
Authors:
Feig, M
Rotkiewicz, P
Kolinski, A
Skolnick, J
Brooks, CL
Citation: M. Feig et al., Accurate reconstruction of all-atom protein representations from side-chain-based low-resolution models, PROTEINS, 41(1), 2000, pp. 86-97
Citation: J. Skolnick et al., Derivation of protein-specific pair potentials based on weak sequence fragment similarity, PROTEINS, 38(1), 2000, pp. 3-16
Citation: A. Sikorski et al., Computer simulations of the properties of the alpha(2), and alpha C-2 and alpha D-2 de novo designed helical proteins, PROTEINS, 38(1), 2000, pp. 17-28
Citation: J. Skolnick et Js. Fetrow, From genes to protein structure and function: novel applications of computational approaches in the genomic era, TRENDS BIOT, 18(1), 2000, pp. 34-39
Citation: D. Gront et al., Comparison of three Monte Carlo conformational search strategies for a proteinlike homopolymer model: Folding thermodynamics and identification of low-energy structures, J CHEM PHYS, 113(12), 2000, pp. 5065-5071
Authors:
Simmerling, C
Lee, MR
Ortiz, AR
Kolinski, A
Skolnick, J
Kollman, PA
Citation: C. Simmerling et al., Combining MONSSTER and LES/PME to predict protein structure from amino acid sequence: Application to the small protein CMTI-1, J AM CHEM S, 122(35), 2000, pp. 8392-8402
Citation: Ba. Reva et al., Derivation and testing residue-residue mean-force potentials for use in protein structure recognition, METH MOL B, 143, 2000, pp. 155-174