TY - JOUR
T1 - Pattern recognition metric for comparison of protein structures based on amino acid sequences
AU - Schetz, John A.
N1 - Funding Information:
This work was supported in part by an award from the Bryan W. Robinson Neurological Foundation to J. A. Schetz and in part by National Institute of Mental Health Training Grant MH15737. Special thanks go to Lynn Milstead for assistance with the artwork, and to Dr. Bill Luttge for his continued encouragement and support.
PY - 1994/1/1
Y1 - 1994/1/1
N2 - An increase in the number of reported protein primary sequences has increased the need to extract structural and functional information from them. This growing need has precipitated the emergence of computational methods for predicting the structure and function of a protein on the basis of its amino acid sequence. This chapter describes basic pattern recognition metric for direct comparison of protein structural patterns solely on the basis of amino acid sequences. The core of the comparison metric is easily automated because it does not require many generalized rules or subjective parameters, which might need to be optimally adjusted; instead, the metric requires only knowledge of the amino acid sequence of a protein. To overcome the limitations of predictive methods that require smoothing and the defining of structures, the comparison metric quantifies comparisons among homologous and heterologous residues between two sequences with a nonheuristic ranking approach. Because the assignment of gap penalties, like operating windows, requires a subjective judgment, gaps are not inserted to optimize the alignment of sequences before comparing them.
AB - An increase in the number of reported protein primary sequences has increased the need to extract structural and functional information from them. This growing need has precipitated the emergence of computational methods for predicting the structure and function of a protein on the basis of its amino acid sequence. This chapter describes basic pattern recognition metric for direct comparison of protein structural patterns solely on the basis of amino acid sequences. The core of the comparison metric is easily automated because it does not require many generalized rules or subjective parameters, which might need to be optimally adjusted; instead, the metric requires only knowledge of the amino acid sequence of a protein. To overcome the limitations of predictive methods that require smoothing and the defining of structures, the comparison metric quantifies comparisons among homologous and heterologous residues between two sequences with a nonheuristic ranking approach. Because the assignment of gap penalties, like operating windows, requires a subjective judgment, gaps are not inserted to optimize the alignment of sequences before comparing them.
UR - http://www.scopus.com/inward/record.url?scp=0028674092&partnerID=8YFLogxK
U2 - 10.1016/S0076-6879(94)40068-7
DO - 10.1016/S0076-6879(94)40068-7
M3 - Article
C2 - 7823853
AN - SCOPUS:0028674092
SN - 0076-6879
VL - 240
SP - 667
EP - 723
JO - Methods in Enzymology
JF - Methods in Enzymology
IS - C
ER -