Rahul Singh

Summary

Affiliation: San Francisco State University
Country: USA

Publications

  1. pmc Protein disulfide topology determination through the fusion of mass spectrometric analysis and sequence-based prediction using Dempster-Shafer theory
    Rahul Singh
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    BMC Bioinformatics 14:S20. 2013
  2. pmc An efficient algorithmic approach for mass spectrometry-based disulfide connectivity determination using multi-ion analysis
    William Murad
    Department of Computer Science, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA
    BMC Bioinformatics 12:S12. 2011
  3. doi request reprint MS2DB+: a software for determination of disulfide bonds using multi-ion analysis
    William Murad
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    IEEE Trans Nanobioscience 12:69-71. 2013
  4. ncbi request reprint An interactive visualization-based approach for high throughput screening information management in drug discovery
    Tammy Pui Shan Chan
    Dept of Comput Sci, San Francisco State Univ, CA 94132, USA
    Conf Proc IEEE Eng Med Biol Soc 1:5794-7. 2006
  5. doi request reprint Segmenting the etiological agent of schistosomiasis for high-content screening
    Daniel E Asarnow
    Department of Chemistry and Biochemistry, San Francisco State University, San Francisco, CA 94132 USA
    IEEE Trans Med Imaging 32:1007-18. 2013
  6. ncbi request reprint An algorithmic approach to automated high-throughput identification of disulfide connectivity in proteins using tandem mass spectrometry
    Timothy Lee
    Department of Computer Science, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132 4025, USA
    Comput Syst Bioinformatics Conf 6:41-51. 2007
  7. doi request reprint A review of algorithmic techniques for disulfide-bond determination
    Rahul Singh
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    Brief Funct Genomic Proteomic 7:157-72. 2008
  8. pmc Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis
    Hyokyeong Lee
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    BMC Genomics 13:S4. 2012
  9. pmc Surface similarity-based molecular query-retrieval
    Rahul Singh
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    BMC Cell Biol 8:S6. 2007

Collaborators

Detail Information

Publications10

  1. pmc Protein disulfide topology determination through the fusion of mass spectrometric analysis and sequence-based prediction using Dempster-Shafer theory
    Rahul Singh
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    BMC Bioinformatics 14:S20. 2013
    ..Each of these frameworks has its advantages and disadvantages in terms of pre-requisites for applicability, throughput, and accuracy. Furthermore, the results from different methods may concur or conflict in parts...
  2. pmc An efficient algorithmic approach for mass spectrometry-based disulfide connectivity determination using multi-ion analysis
    William Murad
    Department of Computer Science, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132, USA
    BMC Bioinformatics 12:S12. 2011
    ..Unfortunately, this can adversely impact the quality of results...
  3. doi request reprint MS2DB+: a software for determination of disulfide bonds using multi-ion analysis
    William Murad
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    IEEE Trans Nanobioscience 12:69-71. 2013
    ..Once putative disulfide bonds are identified, a graph optimization approach is used to obtain the most likely global disulfide connectivity pattern...
  4. ncbi request reprint An interactive visualization-based approach for high throughput screening information management in drug discovery
    Tammy Pui Shan Chan
    Dept of Comput Sci, San Francisco State Univ, CA 94132, USA
    Conf Proc IEEE Eng Med Biol Soc 1:5794-7. 2006
    ..Case studies and experiments demonstrate the efficacy of the proposed approach in terms of its ease of use as well as its capability to discern complex information patterns in the data...
  5. doi request reprint Segmenting the etiological agent of schistosomiasis for high-content screening
    Daniel E Asarnow
    Department of Chemistry and Biochemistry, San Francisco State University, San Francisco, CA 94132 USA
    IEEE Trans Med Imaging 32:1007-18. 2013
    ..The method is sufficiently rapid, robust and accurate to be used for quantitative analysis of diverse parasite phenotypes in high-throughput and high-content screening...
  6. ncbi request reprint An algorithmic approach to automated high-throughput identification of disulfide connectivity in proteins using tandem mass spectrometry
    Timothy Lee
    Department of Computer Science, San Francisco State University, 1600 Holloway Avenue, San Francisco, CA 94132 4025, USA
    Comput Syst Bioinformatics Conf 6:41-51. 2007
    ..The complexity of the proposed solution is of the order of the input spectra. The efficacy and efficiency of the method was validated using experimental data derived from proteins with with diverse disulfide linkage patterns...
  7. doi request reprint A review of algorithmic techniques for disulfide-bond determination
    Rahul Singh
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    Brief Funct Genomic Proteomic 7:157-72. 2008
    ..This paper discusses the importance and applicability of disulfide-bond determination in understanding protein structure and function and provides a detailed review of computational approaches to this problem...
  8. pmc Quantification and clustering of phenotypic screening data using time-series analysis for chemotherapy of schistosomiasis
    Hyokyeong Lee
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    BMC Genomics 13:S4. 2012
    ..Development of techniques for automated, high-throughput drug screening against these diseases, especially in whole-organism settings, constitutes one of the great challenges of modern drug discovery...
  9. pmc Surface similarity-based molecular query-retrieval
    Rahul Singh
    Department of Computer Science, San Francisco State University, San Francisco, CA 94132, USA
    BMC Cell Biol 8:S6. 2007
    ..However, most techniques for determining molecular similarity tend to focus on idealized 2D graph-based descriptors due to the complexity that accompanies reasoning with more elaborate representations...