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The goals of the center are:

  • To develop and apply computational methods for the analysis and design of structures, functions, interactions, regulation and evolution of biological macromolecules; and to use such understanding to contribute to the advancement of modern biological, engineering and medical sciences. In meeting these objectives, the BMERC is continually developing new computer-assisted analytical approaches that address basic problems in molecular biology.
  • To connect basic sciences with engineering and medical applications. On the basic science side, BMERC has active collaborations with faculty from the Department of Chemistry (Profs. Whitty, Allen, Porco), the Department of Physiology and Biophysics (Prof. Marintchev). Within engineering, BMERC collaborates with members of the Center for Information and Systems Engineering (CISE). In particular, we closely collaborate with Profs. Paschalidis, Herbordt (ECE Department), Vakili (Mechanical Engineering), and Frank-Kamenetskii (Biomedical Engineering).
  • To provide collaborative research support and training to the Boston University and wider research communities, with focus on graduate students.

Find out more on the BMERC website.

Collections in this community

Recently Added

  • The Origin and Evolution of the Ribosome 

    Smith, Temple F; Lee, Jung C; Gutell, Robin R; Hartman, Hyman (BioMed Central, 2008-4-22)
    BACKGROUND. The origin and early evolution of the active site of the ribosome can be elucidated through an analysis of the ribosomal proteins' taxonomic block structures and their RNA interactions. Comparison between the ...
  • Constraining Ribosomal RNA Conformational Space 

    Favaretto, Paola; Bhutkar, Arjun; Smith, Temple F. (Oxford University Press, 2005-09-09)
    Despite the potential for many possible secondary-structure conformations, the native sequence of ribosomal RNA (rRNA) is able to find the correct and universally conserved core fold. This study reports a computational ...
  • Transcription Factor Map Alignment of Promoter Regions 

    Blanco, Enrique; Messeguer, Xavier; Smith, Temple F; Guigó, Roderic (Public Library of Science, 2006-5-26)
    We address the problem of comparing and characterizing the promoter regions of genes with similar expression patterns. This remains a challenging problem in sequence analysis, because often the promoter regions of co-expressed ...
  • GTPases and the Origin of the Ribosome 

    Hartman, Hyman; Smith, Temple F (BioMed Central, 2010-5-20)
    BACKGROUND. This paper is an attempt to trace the evolution of the ribosome through the evolution of the universal P-loop GTPases that are involved with the ribosome in translation and with the attachment of the ribosome ...
  • Protein Docking by the Underestimation of Free Energy Funnels in the Space of Encounter Complexes 

    Shen, Yang; Paschalidis, Ioannis Ch.; Vakili, Pirooz; Vajda, Sandor (Public Library of Science, 2008-10-10)
    Similarly to protein folding, the association of two proteins is driven by a free energy funnel, determined by favorable interactions in some neighborhood of the native state. We describe a docking method based on stochastic ...
  • Survey of Human Mitochondrial Diseases Using New Genomic/Proteomic Tools 

    Plasterer, Thomas N.; Smith, Temple F.; Mohr, Scott C. (BioMed Central, 2001-06-01)
    BACKGROUND. We have constructed Bayesian prior-based, amino-acid sequence profiles for the complete yeast mitochondrial proteome and used them to develop methods for identifying and characterizing the context of protein ...
  • Inferring Genome-Scale Rearrangement Phylogeny and Ancestral Gene Order: A Drosophila Case Study 

    Bhutkar, Arjun; Gelbart, William M; Smith, Temple F (BioMed Central, 2007-11-8)
    A simple, fast, and biologically inspired computational approach for inferring genome-scale rearrangement phylogeny and ancestral gene order has been developed. This has been applied to eight Drosophila genomes. Existing ...