title: Analysis of biological motors via multidimensional fractionation: a strategy.
abstract: Past strategies for the analysis of ATP-fueled motors include single-motor analysis. Single-motor analysis bypasses limitations caused by motor asynchrony during the traditional ensemble averaging analysis. The present communication describes revised ensemble averaging analysis that also can bypass asynchrony-derived limitations. This revised analysis makes measurements of one motor variable dependent on the others. One example is nondenaturing gel electrophoresis with more than one dimension. Each dimension measures one of the motor variables. This multidimensional procedure is used to obtain the values of "conformational" motor variables as a function of a "clock" motor variable. In theory, the cycle of the motor can be analyzed from a single multidimensional analysis of a collection of asynchronous motors sampled at only one time. That is to say, motor asynchrony becomes an asset, rather than a liability.
authors.affiliation: Department of Biochemistry, The University of Texas Health Science Center at San Antonio, San Antonio, TX 78229-3900, USA. serwer@uthscsa.edu
authors.forename: Philip
authors.initials: P
authors.lastname: Serwer
mesh_terms: D042003:DNA Packaging; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods*; D020409:Molecular Motor Proteins / Q000737:chemistry*; D011487:Protein Conformation; D016008:Statistical Distributions; D013995:Time
chemical_list: D020409:Molecular Motor Proteins