id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-272260-88l9bq4i	Han, L.Y.	Prediction of functional class of novel viral proteins by a statistical learning method irrespective of sequence similarity	2005-01-05		.txt	text/plain	4116	220	47	The web-based software SVMProt (http://jing.cz3.nus.edu.sg/cgi-bin/svmprot.cgi) to some extent assigns protein functional family irrespective of sequence similarity and has been found to be useful for studying distantly related proteins [Cai, C.Z., Han, L.Y., Ji, Z.L., Chen, X., Chen, Y.Z., 2003. This suggests that SVMProt to some extent is capable of functional class assignment irrespective of sequence similarity and it is potentially useful for facilitating functional study of novel viral proteins. These include evolutionary analysis (Benner et al., 2000; Eisen, 1998) , hidden Markov models (Fujiwara and Asogawa, 2002) , structural consideration (Di Gennaro et al., 2001; Teichmann et al., 2001) , protein/gene fusion (Enright et al., 1999; Marcotte et al., 1999) , proteinprotein interactions (Bock and Gough, 2001) , motifs (Hodges and Tsai, 2002) , family classification by sequence clustering (Enright et al., 2002) , and functional family prediction by statistical learning methods (Cai et al., 2003 Han et al., 2004; Jensen et al., 2002; Karchin et al., 2002) .	./cache/cord-272260-88l9bq4i.txt	./txt/cord-272260-88l9bq4i.txt