The guidebook of federal resources for K-12 mathematics and science /

Contains directories of federal agencies that promote mathematics and science education at elementary and secondary levels; organized in sections by agency name, national program name, and state highlights by region.

Department of Education : the Eisenhower Math and Science State Grant Program : report to the Chairman, Subcommittee on Elementary, Secondary, and Vocational Education, Committee on Education and Labor, House of Representatives /

"November 1992."

Secondary math and science education [microform] : hearing before the Subcommittee on Science, Research, and Technology of the Committee on Science and Technology, U.S. House of Representatives, Ninety-seventh Congress, second session, May 7, 1982.

"No. 169."

Teaching and organisation, with special reference to secondary schools, a manual of practice,

Contains bibliographies.

Mathematical theses of junior and senior classes, 1782-1839.

Mode of access: Internet.

Directory of Secondary and Normal Schools

Title Varies: 1915/16-1920, Directory of Secondary and Normal Schools; 1921/22-1922/23, Directory of Secondary Schools and Teachers Colleges; 1923/24, Directory of Senior and Junior High Schools and Junior Colleges and Teachers Colleges; 1924/25, Directory of Public Secondary Schools

Identifying sequence regions undergoing conformational change via predicted continuum secondary structure

Motivation: Conformational flexibility is essential to the function of many proteins, e.g. catalytic activity. To assist efforts in determining and exploring the functional properties of a protein, it is desirable to automatically identify regions that are prone to undergo conformational changes. It was recently shown that a probabilistic predictor of continuum secondary structure is more accurate than categorical predictors for structurally ambivalent sequence regions, suggesting that such models are suited to characterize protein flexibility. Results: We develop a computational method for identifying regions that are prone to conformational change directly from the amino acid sequence. The method uses the entropy of the probabilistic output of an 8-class continuum secondary structure predictor. Results for 171 unique amino acid sequences with well-characterized variable structure (identified in the 'Macromolecular movements database') indicate that the method is highly sensitive at identifying flexible protein regions, but false positives remain a problem. The method can be used to explore conformational flexibility of proteins (including hypothetical or synthetic ones) whose structure is yet to be determined experimentally.