caa a22 4500 475744322 CHVBK 20180406123508.0 cr unu---uuuuu 170329e20000501xx s 000 0 eng 10.1023/A:1007091128394 doi (NATIONALLICENCE)springer-10.1023/A:1007091128394 Prediction of Membrane Protein Types Based on the Hydrophobic Index of Amino Acids [Elektronische Daten] [Zhi-Ping Feng, Chun-Ting Zhang] A new algorithm to predict the types of membrane proteins is proposed. Besides the amino acid composition of the query protein, the information within the amino acid sequence is taken into account. A formulation of the autocorrelation functions based on the hydrophobicity index of the 20 amino acids is adopted. The overall predictive accuracy is remarkably increased for the database of 2054 membrane proteins studied here. An improvement of about 13% in the resubstitution test and 8% in the jackknife test is achieved compared with those of algorithms based merely on the amino acid composition. Consequently, overall predictive accuracy is as high as 94% and 82% for the resubstitution and jackknife tests, respectively, for the prediction of the five types. Since the proposed algorithm is based on more parameters than those in the amino acid composition approach, the predictive accuracy would be further increased for a larger and more class-balanced database. The present algorithm should be useful in the determination of the types and functions of new membrane proteins. The computer program is available on request. Plenum Publishing Corporation, 2000 Membrane protein nationallicence type of membrane protein nationallicence amino acid composition nationallicence autocorrelation function nationallicence hydrophobic index nationallicence Feng Zhi-Ping Department of Physics, Tianjin University, 300072, Tianjin, China aut Zhang Chun-Ting Department of Physics, Tianjin University, 300072, Tianjin, China aut Journal of Protein Chemistry Kluwer Academic Publishers-Plenum Publishers 19/4(2000-05-01), 269-275 0277-8033 19:4<269 2000 19 10930 https://doi.org/10.1023/A:1007091128394 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1007091128394 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Feng Zhi-Ping Department of Physics, Tianjin University, 300072, Tianjin, China aut NATIONALLICENCE 700 1- Zhang Chun-Ting Department of Physics, Tianjin University, 300072, Tianjin, China aut NATIONALLICENCE 773 0- Journal of Protein Chemistry Kluwer Academic Publishers-Plenum Publishers 19/4(2000-05-01), 269-275 0277-8033 19:4<269 2000 19 10930 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer