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ÇѱÛÁ¦¸ñ(Korean Title) |
À§Ä¡ Á¾¼Ó À¯»çµµ ½ºÆåÆ®·³À» ÀÌ¿ëÇÑ ´Ü¹éÁú ¼¿ÀÇ ¾Æ¹Ì³ë»ê Á¶¼º ÃßÁ¤ |
¿µ¹®Á¦¸ñ(English Title) |
Estimating Amino Acid Composition of Protein Sequences Using Position-Dependent Similarity Spectrum |
ÀúÀÚ(Author) |
Áö»ó¹®
Sang-Mun Chi
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¿ø¹®¼ö·Ïó(Citation) |
VOL 37 NO. 01 PP. 0074 ~ 0079 (2010. 01) |
Çѱ۳»¿ë (Korean Abstract) |
´Ü¹éÁúÀÇ ¾Æ¹Ì³ë»ê Á¶¼ºÀº »ý¹°Á¤º¸ÇÐÀÇ ¿©·¯ ¹®Á¦¸¦ ÇØ°áÇϱâ À§ÇÑ ±âÃÊÀûÀÎ Á¤º¸·Î ÀÚÁÖ È°¿ëµÈ´Ù. º» ³í¹®¿¡¼´Â ¾Æ¹Ì³ë»ê°£ÀÇ ÁøÈÀûÀÎ ¿¬°ü¼ºÀ» Á¤ÀÇÇÑ BLOSUM Çà·Ä¿¡¼ À¯µµÇÑ À¯»çµµ ÇÔ¼ö¸¦ »ç¿ëÇÏ¿© ¾Æ¹Ì³ë»ê Á¶¼ºÀ» °áÁ¤ÇÑ´Ù. ÀÌ·¯ÇÑ ¹æ¹ýÀº »ý¹°ÇÐÀûÀÎ ¿¬°ü¼ºÀÌ ÀÖ´Â ´Ü¹éÁú ¼¿Àϼö·Ï ºñ½ÁÇÑ ¾Æ¹Ì³ë»ê Á¶¼ºÀ» °®µµ·Ï ÇÑ´Ù. ¶ÇÇÑ ´Ü¹éÁúÀÇ ±¸Á¶¿Í ±â´É¿¡ Áß¿äÇÑ ¿ªÇÒÀ» ÇÏ´Â À§Ä¡-ƯÀÌÀûÀÎ ¾Æ¹Ì³ë»êÀÇ ºÐÆ÷¸¦ ÃßÁ¤Çϱâ À§Çؼ ·¹ÀÌ´õ³ª À½¼º ½ÅÈ£ÀÇ ½ºÆåÆ®·³ ºÐ¼®¿¡ »ç¿ëµÇ´Â °³³äÀÎ ½Ã°£-Á¾¼Ó ºÐ¼®, ½Ã°£ ÇØ»óµµ¿Í ÁÖÆļö ÇØ»óµµÀÇ °³³äÀ» Àû¿ëÇÏ¿´´Ù. Á¦¾ÈÇÑ ¹æ¹ýÀ» ´Ü¹éÁúÀÇ ¼¼Æ÷³» À§Ä¡¿¹Ãø¿¡ Àû¿ëÇÏ¿© ±âÁ¸ÀÇ ¾Æ¹Ì³ë»ê Á¶¼º ÃßÁ¤ ¹æ¹ýÀ» »ç¿ëÇÏ´Â °Íº¸´Ù Å©°Ô Çâ»óµÈ ¼º´ÉÀ» º¸ÀÓÀ» È®ÀÎÇÏ¿´´Ù. |
¿µ¹®³»¿ë (English Abstract) |
The amino acid composition of a protein provides basic information for solving many problems in bioinformatics. We propose a new method that uses biologically relevant similarity between amino acids to determine the amino acid composition, where the BOLOSUM matrix is exploited to define a similarity measure between amino acids. Futhermore, to extract more information from a protein sequence than conventional methods for determining amino acid composition, we exploit the concepts of spectral analysis of signals such as radar and speech signals?the concepts of time-dependent analysis, time resolution, and frequency resolution. The proposed method was applied to predict subcellular localization of proteins, and showed significantly improved performance over previous methods for amino acid composition estimation. |
Å°¿öµå(Keyword) |
¾Æ¹Ì³ë»ê Á¶¼º
À¯»çµµ ÇÔ¼ö
½ºÆåÆ®·³ ºÐ¼®
´Ü¹éÁúÀÇ ¼¼Æ÷³» À§Ä¡ ¿¹Ãø
mino Acid Composition
Similarity Measure
Spectral Analysis
Protein Subcellular Localization Prediction
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