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Publications of Author

1. Moon K. Kim, Robert L. Jernigan, Bruce A. Shapiro, Gregory S. Chirikjian
   A Study of Conformational Changes in Macromolecules: The Coarse-Grained Elastic Network Interpolation Method. [Citation Graph (0, 0)][DBLP]
   METMBS, 2003, pp:140-145 [Conf]
   
2. Michael Terribilini, Jae-Hyung Lee, Changhui Yan, Robert L. Jernigan, Susan Carpenter
   Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and RNA Binding Sites in Rev Proteins of HIV-1 and EIAV Agree with Experimental Data. [Citation Graph (0, 0)][DBLP]
   Pacific Symposium on Biocomputing, 2006, pp:415-426 [Conf]
   
3. Taner Z. Sen, Robert L. Jernigan, Jean Garnier, Andrzej Kloczkowski
   GOR V server for protein secondary structure prediction. [Citation Graph (0, 0)][DBLP]
   Bioinformatics, 2005, v:21, n:11, pp:2787-2788 [Journal]
   
4. Taner Z. Sen, Andrzej Kloczkowski, Robert L. Jernigan, Changhui Yan, Vasant Honavar, Kai-Ming Ho, Cai-Zhuang Wang, Yungok Ihm, Haibo Cao, Xun Gu, Drena Dobbs
   Predicting binding sites of hydrolase-inhibitor complexes by combining several methods. [Citation Graph (0, 0)][DBLP]
   BMC Bioinformatics, 2004, v:5, n:, pp:205- [Journal]
   
5. Feng Cui, Robert L. Jernigan, Zhijun Wu
   Refinement of Nmr-determined Protein Structures with Database Derived Distance Constraints. [Citation Graph (0, 0)][DBLP]
   J. Bioinformatics and Computational Biology, 2005, v:3, n:6, pp:1315-1330 [Journal]
   
6. Pemra Doruker, Robert L. Jernigan, Ivet Bahar
   Dynamics of large proteins through hierarchical levels of coarse-grained structures. [Citation Graph (0, 0)][DBLP]
   Journal of Computational Chemistry, 2002, v:23, n:1, pp:119-127 [Journal]
   
7. Marc L. Mansfield, David G. Covell, Robert L. Jernigan
   A New Class of Molecular Shape Descriptors, 1. Theory and Properties. [Citation Graph (0, 0)][DBLP]
   Journal of Chemical Information and Computer Sciences, 2002, v:42, n:2, pp:259-273 [Journal]
   
8. Brooke Lustig, Shalini Arora, Robert L. Jernigan
   RNA base-amino acid interaction strengths derived from structures and sequences. [Citation Graph (0, 0)][DBLP]
   Nucleic Acids Research, 1997, v:25, n:13, pp:2562-2565 [Journal]
   
9. Di Wu, Feng Cui, Robert L. Jernigan, Zhijun Wu
   PIDD: database for Protein Inter-atomic Distance Distributions. [Citation Graph (0, 0)][DBLP]
   Nucleic Acids Research, 2007, v:35, n:Database-Issue, pp:202-207 [Journal]
   
10. 
    Consensus Data Mining (CDM) Protein Secondary Structure Prediction Server: Combining GOR V and Fragment Database Mining (FDM). [Citation Graph (, )][DBLP]
    
    
11. 
    Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable. [Citation Graph (, )][DBLP]
    
    
12. 
    Functional clustering of yeast proteins from the protein-protein interaction network. [Citation Graph (, )][DBLP]
    
    
13. 
    Predicting DNA-binding sites of proteins from amino acid sequence. [Citation Graph (, )][DBLP]
    
    
14. 
    Potentials 'R'Us web-server for protein energy estimations with coarse-grained knowledge-based potentials. [Citation Graph (, )][DBLP]
    
    
15. 
    Identifying Interaction Sites in "Recalcitrant" Proteins: Predicted Protein and Rna Binding Sites in Rev Proteins of Hiv-1 and Eiav Agree with Experimental Data [Citation Graph (, )][DBLP]