дºÃÓ¢Óï¿Æ¼¼ÂÛÎĵľ÷ÇÏ(1)

дºÃÓ¢Óï¿Æ¼¼ÂÛÎĵľ÷ÇÏ£ºÖ÷¶¯Ó­ºÏ¶ÁÕ߯ÚÍû£¬Ô¤ÏȻشðר¼Ò¿ÉÄÜÖÊÒÉ

ǰ  ÑÔ

ÎҵĵÚһƪӢÓï¿Æ¼¼ÂÛÎÄд×÷ÊǰÑÔÚ¿Æ´óµÄѧʿ±ÏÒµÂÛÎÄ·­Òë³ÉÓ¢ÎÄ¡£µ±ÎÒÒ»¾Å¾ÅÁãÄê´ÓŦԼÖÝÁ¢´óѧ²©Ê¿±Ïҵʱ£¬·¢±íÁË20 ¶àƪӢÓïÂÛÎÄ¡£µ«ÊÇ£¬ÎÒ¶ÔÔõÑùд¸ßÖÊÁ¿¿Æ¼¼ÂÛÎĵÄÀí½âÈԾɴ¦ÓÚ³õ¼¶½×¶Î£¬½öÖªµÀ¾¡Á¿¼õÉÙÓï·¨´íÎó¡£ÕâÊÇÒòΪ´ó¶àÊýʱ¼äÎÒ¶¼ÐÀÈ»½ÓÊÜÎҵIJ©Ê¿Ö¸µ¼ÀÏʦDr. George StellºÍDr. Harold Friedman µÄÐ޸쬶ø²»ÖªµÀΪʲôҪÄÇÑù¸Ä£¬Ò²Ã»ÓÐÖ÷¶¯È¥ÎÊ¡£ÕâÖÖÇé¿öÒ»Ö±³ÖÐøµ½ÎÒÈ¥±±¿¨ÖÝÁ¢´óѧ×ö²©Ê¿ºó¡£ÎҵIJ©Ê¿ºóÖ¸µ¼ÀÏʦDr. Carol Hall½¨ÒéÎÒµ½ÁÚ½üµÄ¶Å¿Ë´óѧȥ²Î¼ÓÒ»¸öΪÆÚÁ½ÌìµÄд×÷¶Ìѵ°à¡£ÕâÌÃÓÉGopen ½ÌÊÚÖ÷°ìµÄ¶Ìѵ°àÕæÊ¹ÎÒéÈû¶Ù¿ª¡£µÚÒ»´Î£¬ÎÒÖªµÀÁ˶ÁÕßÔÚÔĶÁÖÐÓÐËûÃÇµÄÆÚÍû£¬ÒªÏëдºÃ¿Æ¼¼ÂÛÎÄ£¬×îÓÐЧµÄ·½·¨ÊÇÒªÓ­ºÏËûÃÇµÄÆÚÍû¡£ÕâÌÃд×÷¿Î°ïÎҳɹ¦µØÍê³ÉÁËÎҵĵÚÒ»¸ö²©Ê¿ºó»ù½ðÉêÇ룬Óлú»á½øÈë¹þ·ð´óѧDr. Martin Karplus ×é¡£ÔÚ¹þ·ð´óѧµÄÎåÄêÆÚ¼ä£¬ÔÚKarplus ½ÌÊÚµÄÖ¸µ¼Ï£¬ÎÒÈÏʶµ½Ò»ÆªºÃµÄÂÛÎÄÐèÒª´ÓÉî¶È¹ã¶È½øÐÐÀïÀïÍâÍâ×ÔÎÒÉó²é¡£Ä¿Ç°£¬ÎÒ×Ô¼ºµ±Á˽ÌÊÚ£¬ÓÐÁË×Ô¼ºµÄ¿ÆÑÐ×飬Ҳ³£³£Éó¸å¡£ÎÒ¾õµÃÓбØÒªÈÃÎҵIJ©Ê¿ÉúºÍ²©Ê¿ºóѧºÃд×÷¡£ÎÒ²»ÈÏΪÎÒ×Ô¼ºÊÇд×÷ר¼Ò¡£ÎÒµÄÂÛÎÄÒ²³£³£ÒòΪÕâÑù»òÄÇÑùµÄÔ­Òò±»Í˸塣µ«ÊÇÎÒÈÏΪºÍ´ó¼Ò¹²ÏíÎÒ¶Ôд×÷µÄÀí½âºÍÎÒд×÷µÄ¾­Ñé½Ìѵ£¬Ò²Ðí´ó¼Ò»áÉÙ×ßһЩÎÒ×ß¹ýµÄÍä·¡£ÓÉÓÚ¶àÄêδÓÃÖÐÎÄд×÷£¬Çë´ó¼Ò¶à¶àÖ¸Õý¡£À´ÐÅÇë¼Ä£ºyqzhou@iupui.edu ¡£»¶Ó­·ÃÎÊÎÒµÄÍøÕ¾£ºhttp://sparks.informatics.iupui.edu¡£

µ¼  ÑÔ

ͨ³£À´½²£¬Ñо¿ÉúºÍ²©Ê¿ºó´ÓËûµÄµ¼Ê¦ÄǶùµÃµ½Ñо¿·½Ïò¡£¾­¹ý¶à´Î·´¸´ÊÔÑ飬µÃµ½Ò»Ð©ºÃµÄ½á¹û¡£½ÓÏÂÀ´ËûÃÇÐèÒª¶ÔµÃµ½µÄÊý¾Ý½øÐÐ×ܽáºÍ·ÖÎö£¬Ð´³ÉÂÛÎÄ¡£ºÃµÄ½á¹ûÊÇһƪºÃÂÛÎĵÄǰÌá¡£µ«ÊǶÔÏàͬµÄ½á¹û£¬Ò»Æª¾«Ð´µÄÂÛÎÄ»á¸üÈÝÒ×±»¸ßµµÔÓÖ¾½ÓÊÜ¡£¶øÐ´µÃ²»ºÃµÄÂÛÎĺܿÉÄܱ»Í˸塣ÂÛÎĵÄÊýÁ¿ºÍÖÊÁ¿ÊÇѧÉúºÍµ¼Ê¦ÊÂÒµ·¢Õ¹µÄÇÃÃÅש¡£²»³ÉÎÄ£¬±ã³ÉÈÊ£¬ÊÇѧÊõÉúÑĵÄдÕÕ¡£

ºÜ¶àѧÉúÒÔΪµ±½á¹ûµ½ÊÖµÄʱºòÑо¿¾Í½áÊøÁË¡£ËûÃÇдµÄ²Ý¸å£¬³£³£°ÑԭʼÊý¾Ý·ÅÔÚÒ»Æð£¬Ã»ÓжԷ½·¨ºÍÊý¾Ý½øÐÐÏêϸ·ÖÎö£¬Ã»ÓжԵ±½ñÂÛÎĵįÀÊö¡£ÊÂʵÉÏ£¬Ð´×÷ÊÇÑо¿²»¿É·Ö¸îµÄÒ»²¿·Ö¡£´Ë¿ÌÊÇŪ¶®·½·¨µÄ³É¹¦Óëʧ°Ü£¬Ñ°ÕÒ½á¹ûµÄ½âÊͼ°ÆäÒþº¬µÄÒâÒ壬ÒÔ¼°ÓëÆäËûÏà¹ØÑо¿½øÐбȽϵÄʱºò¡£

ÎÒÃÇΪʲôÐèÒªÔÚд×÷ÉÏÈç´ËÈÏտŬÁ¦£¿Ô­ÒòºÜ¼òµ¥¡£Ò»¸öÑо¿½á¹ûÖ»ÓÐÔÚ±»±ðÈËʹÓÃʱ²ÅÓÐÒâÒå¡£¶øÏë±»±ðÈËʹÓã¬ÎÄÕ±ØÐëÄÜÒýÆðÆäËû¿ÆÑ§¼ÒµÄÐËȤ£¬¶øÇҵñ£Ö¤ÆäËûÈËÄÜ¿´¶®²¢¿ÉÒÔÖØ¸´ºÍÔÙÏÖÄãµÄ½á¹û¡£Ö»ÓпÉÒÔ±»Àí½âµÄÑо¿²Å»á±»Öظ´£¬Ò²Ö»ÓпÉÒÔ±»ÔÙÏֵŤ×÷²ÅÄܵ¼Ö±ðÈ˵ÄÒýÓú͸ú×Ù¡£¶øÄãµÄÂÛÎı»ÒýÓõÄÊýÁ¿³£³£ÓÃÀ´ºâÁ¿Ñо¿µÄÓ°ÏìÁ¦¡£´ÓijÖֽǶȿ´£¬Ð´×÷¾ÍÏñÊǰÑÄãµÄ¹¤×÷³É¹ûÍÆÏú¸øÆäËûµÄ¿ÆÑ§¼Ò¡£

ΪÁ˸üºÃµÄÍÆÏú£¬¿ÆÑ§ÂÛÎıØÐëÂú×ãËü¶ÀÌØµÄ¹Ë¿Í£ºÓÉ´ÏÃ÷ÄܸɵĿÆÑ§¼Ò×é³ÉµÄ¼â¶Ë¶ÁÕß¡£Ëü±ØÐëÄÜÏÈ˵·þ£¨Í¨³£Ò²ÊǾºÕù¶ÔÊֵģ©Í¬ÐÐÃÇ£¬ÒòΪËûÃÇµÄÆÀÉóÊÇÎÄÕÂÔÚ·¢±íǰµÄµÚÒ»µÀ¹Ø¿Ú¡£Í¬Ê±£¬ËüÒ²±ØÐëÂú×ãÒ»°ã¶ÁÕßµÄÒªÇó¡£ÎªÁË´ïµ½Õâ¸öÄ¿±ê£¬ÎÒÃÇÊ×ÏÈÒªÀí½âËûÃÇÐèҪʲô£¿

 

¶ÁÕßÐèҪʲô£¿

ÄãµÄÎÄÕµÄDZÔÚ¶ÁÕß¿ÉÄÜÓиսøÈëÕâÁìÓòµÄÐÂÊÖ£º´óѧÉúºÍÑо¿Éú£¬Ò²ÓÐר¼Ò£¨Ç±ÔÚÉó¸åÈË)¡£ËûÃǶÔÄãµÄÁìÓò»áÓв»Í¬³Ì¶ÈµÄÁ˽⡣Òò´Ë£¬Ð´ÎÄÕµÄʱºòÓ¦¸ÃÁ¦Çó¼òµ¥µ½¿ÉÒÔ±»ÐÂÊÖÀí½â£¬Í¬Ê±Éî¿Ìµ½¿ÉÒÔÒýÆðר¼ÒµÄÐËȤ¡£

ËùÓеĿÆÑ§¼Ò£¨²»ÂÛÊÇѧÉú»¹ÊÇËûÃǵĵ¼Ê¦)ÍùÍù¶¼ºÜæ¡£´óÁ¿ÆÚ¿¯ÔÓ־ʹËûÃDz»¿ÉÄÜ×ÐϸÔĶÁÿһƪÂÛÎÄ¡£ËûÃÇͨ³£Ï£ÍûÄÜÔÚ×î¶Ìʱ¼äÄÚÕÒµ½ÎÄÕÂ×îÖØÒªµÄÐÅÏ¢¡£µäÐ͵ÄÇé¿öÊÇÈç¹ûÎÄÕ±êÌâ²»ÎüÒýÈË£¬ËûÃÇ»òÐí¾Í»áÌø¹ýÕâÆªÂÛÎÄ¡£Èç¹ûÎÄÕµÄժҪûÓаüº¬ÖØÒªµÄз½·¨»òнá¹û£¬ËûÃDz»»áÈ¥¶ÁÕâÆªÎÄÕ¡£¼´Ê¹ÒѾ­¾ö¶¨Òª¶ÁµÄÂÛÎÄ£¬ËûÃÇÒ²»áÌø¹ýºÜ¶à¶ÎÂäÖ±½ÓÈ¥ÕÒ×Ô¼º×î¸ÐÐËȤµÄµØ·½¡£Òò´Ë£¬±£Ö¤ÎÄÕµĽṹÄÜʹ¶ÁÕߺܿìÕÒµ½ËùÐèµÄÐÅÏ¢·Ç³£ÖØÒª¡£ÎÄÕµĹؼüÔÚÓڽṹ£¬²»ÔÚÓÚÓï·¨¡£Óï·¨´íÎóÒ׸ģ¬½á¹¹´íÎóÔòÍùÍùÈÃÈËÎÞ´ÓÏÂÊÖ£¬²»ÖªËùÔÆ¡£ÎÒÉó¹ýһЩ¹úÄÚͬÐеÄÂÛÎÄ£¬½á¹¹ÎÊÌâºÜ³£¼û¡£

×ÜÖ®£¬Ò»ÆªÎÄÕÂÖ»ÓÐÔÚ²»ÐèÌ«¶àŬÁ¦¾Í¿ÉÒÔÀí½âµÄÇé¿öϲŻᱻ¹ã·ºµØÒýÓá£ÎÄÕÂÇåÎúµÄ¹Ø¼ü¾ÍÊÇʹ¶ÁÕßÄÜÔÚËûÃÇÏëÕҵĵط½ÕÒµ½ËûÃÇÐèÒªµÄ¶«Î÷¡£ÕâÒ²¾ÍÊÇ˵£¬ÒªÏëÈöÁÕß²»·ÑÁ¦Àí½âÄãµÄÂÛÎÄ£¬Äã±ØÐë·ÑÁ¦È¥Âú×ãËûÃÇµÄÆÚÍû¡£

 

¶ÁÕ߯ÚÍûʲô£¿

¶ÁÕß¶Ô¾ä×ӵįÚÍû

1. ¶ÁÕßÏ£ÍûÔÚ¾ä×ӵĿªÊ¼¿´µ½ÊìϤµÄÐÅÏ¢¡£¾ä×ÓÊÇÎÄÕµÄ×îС¹¦Äܵ¥Ôª¡£×îÈÝÒ×Àí½âµÄ¾ä×ÓÊÇÕû¾ä¶¼ÔÚ˵¶ÁÕßÖªµÀµÄ¶«Î÷¡£µ«Õâ¶Ô¿Æ¼¼ÂÛÎÄÊDz»¿ÉÄܵģ¬ÒòΪֻÓÐÐµĶ«Î÷²Å»á±»·¢±í¡£ÊÂʵÉϿƼ¼ÂÛÎÄͨ³£»á°üº¬ºÜ¶àÐÂÊõÓËùÒÔÒ»¸öÈÝÒ×Àí½âµÄ¾ä×ÓÓ¦¸Ã´Ó¶ÁÕßÊìϤµÄÐÅÏ¢£¨»ò¸Õ¸ÕÌá¹ýµÄ£©¿ªÊ¼¶øÒÔÐÂÐÅÏ¢½áÊø£¬²¢ÔÚËüÃÇÖ®¼äƽ»¬µØ¹ý¶É¡£ºÃÎÄÕµÄËùÓоä×Ó¶¼Ó¦¸ÃÕâÑù´Ó¾Éµ½ÐÂµØÆ½»¬¹ý¶É¡£Ð´ºÃÒ»¾ä¿ªÍ·µÄ½ð¿ÆÓñÂÉÊÇÎÊÎÊÄã×Ô¼º£º¡°ÎÒÒÔǰÓÐûÓÐÌá¹ýÕâ¸ö¸ÅÄ¡±´ó¶àÊýÎÄÕºÜÄѶÁÊÇÒòΪºÜ¶àиÅÄîÔÚûÓб»½éÉÜ֮ǰ¾ÍʹÓÃÁË¡£ÀýÈ磺Samples for the 2-dimensional projection of kinetic trajectories are shown in Figure 7. The coil states are loosely gathered while the native states can form a black cluster with extremely high density in the 2-dimensional projection plane.

ÕâÀï´ÓµÚÒ»¾äµ½µÚ¶þ¾äÐÅÏ¢ÎÞ·¨Á÷¶¯¡£¡°The coil states¡±²»ÖªµÀÊǴӺζøÀ´µÄ¡£¶ÁÕ߻ᷢÏÖÏÂÃæ¸Ä¶¯ºóµÄ¾ä×Ó¸üÈÝÒ×Ã÷°×¡£

Kinetic trajectories are projected onto xx and yy variables in Figure 7. This figure shows two populated states. One corresponds to loosely gathered coil states while the other is the native state with a higher density.
ÔÚÕâ¸öжÎÀвåÈëµÄµÚ¶þ¾äʹÿ¾ä¾ùÄÜ´Ó¾ÉÐÅÏ¢³ö·¢µ½ÐÂÐÅÏ¢½áÊø¡£µÚÒ»¾äÓëµÚ¶þ¾äÖ®¼äÒÔ¡°Figure ¡±ÏàÁ¬¶øµÚ¶þ¾äÓëµÚÈý¾äÖ®¼äÒÔ¡°two states¡±ÏàÁ¬¡£¶øÐÂÐÅÏ¢¡°coil states ¡±Ôò³öÏÖÔÚµÚÈý¾äµÄ×îºó¡£Õû¶Î»·»·ÏàÁ¬£¬³ÉΪһ¸öÕûÌå¡£ÔÙ¿´Ò»¸öÀý×Ó£º

The accuracy of the model structures is given by TM-score. In case of a perfect match to the experimental structure, TM-score would be 1.

ÔÚµÚ¶þ¸ö¾ä×ÓÀ¾ÉÐÅÏ¢¡°TM-score¡±±»ÂñÔÚÖм䣬±»ÐÂÐÅÏ¢¡°a perfect match to experimental structure ¡±´ò¶ÏÁË¡£ÕâÀィÒéÐÞ¸ÄÈçÏ£º

The accuracy of the model structures is measured by TM-score, which is equal to 1 if there is a perfect match to the experimental structure.

¿Æ¼¼Ð´×÷ÖеÄ×î´óÎÊÌâ¾ÍÊÇоÉÐÅϢ˳Ðòµßµ¹¡£ÐÂÐÅÏ¢ºÍ¾ÉÐÅÏ¢¶Ô×÷ÕßÀ´Ëµ¿ÉÄܲ»ÊǺܺÃÇø·Ö£¬ÒòΪËû·Ç³£ÊìϤËùÓеÄÐÅÏ¢¡£ÎªÁ˱ÜÃâÕâÖÖÎÊÌ⣬²»¹Üʲôʱºò£¬Ã¿µ±Ä㿪ʼдо䣬ÄãÓ¦¸ÃÎÊÎÊ×Ô¼º£¬ÕâЩ´ÊÇ°ÃæÓÐûÓб»Ìáµ½¹ý¡£Ò»¶¨Òª°ÑÌáµ½¹ýµÄ·ÅÇ°Ãæ£¬Ã»Ìá¹ýµÄ·ÅºóÃæ¡£

2. ¶ÁÕßÏëÔÚÖ÷ÓïÖ®ºóÁ¢¿Ì¿´µ½ÐÐΪ¶¯´Ê¡£¶ÔÒ»¸ö˵Ã÷Ë­ÔÚ×öʲôµÄ¾ä×Ó£¬¶ÁÕßÐèÒªÕÒµ½¶¯´Ê²ÅÄÜÀí½â¡£Èç¹û¶¯´ÊºÍÖ÷ÓïÖ®¼äÏà¸ô̫Զ£¬ÔĶÁ¾Í»á±»Ñ°ÕÒ¶¯´Ê´ò¶Ï¡£¶ø´ò¶ÏÔĶÁ¾Í»áʹ¾ä×ÓÄÑÒÔÀí½â¡£ÕâÀïÓиöÀý×Ó£º

The smallest URFs (URFA6L), a 207-nucleotide (nt) reading frame overlapping out of phase the NH2-terminal portion of the adenosinetrip hosphatase (ATPase) subinit 6 gene has been identified as the animal equivalent of the recently discovered yeast H+-ATPase subunit 8 gene.

ͬÑùµÄ¾ä×Ó£¬½«¶¯´Ê·ÅÔÚÖ÷ÓïÖ®ºó£º

The smallest of the URFs is URFA6L, a 207-nucleotide (nt) reading frame overlapping out of phase the NH2-terminal portion of the adenosinetriphosphatase (ATPase) subinit 6 Gene; it has been identified as the animal equivalent of the recently discovered yeast H+-ATPase subunit 8 gene.

ÕâÑùеľä×Ӿ͸ü¼ÓƽºâÁË¡£¾¡Á¿±ÜÃâ¹ý³¤µÄÖ÷ÓïºÍ¹ý¶ÌµÄ±öÓï¡£Õâ¾ÍÏñÍ·ÖØ½ÅÇáµÄÈ˺ÜÄÑÕ¾ÎÈ¡£¶ÌµÄÖ÷Óï½ô¸ú×Ŷ¯´Ê¼ÓÉϳ¤µÄ±öÓïЧ¹û»á¸üºÃ¡£

3. ¶ÁÕ߯ÚÍûÿ¾äÖ»ÓÐÒ»¸öÖØµã£¬Õâ¸öÖØµãͨ³£ÔÚ¾äβ¡£±È½ÏÏÂÃæÁ½¸ö¾ä×Ó£¬ÎÒÃÇ¿ÉÒԸоõµ½ËûÃÇ×ÅÖØÇ¿µ÷²»Í¬µÄ¶«Î÷¡£

URFA6L has been identified as the animal equivalent of the recently discovered yeast H+-ATPase subunit 8 gene. Recently discovered yeast H+-ATPase subunit 8 gene has a corresponding animal equivalent gene URFA6L.

ºÜÃ÷ÏÔ£¬Ç°ÃæµÄ¾ä×ÓÊǹØÓÚÒ»¸ö×î½ü·¢ÏֵĽÍĸ»ùÒò£¬¶øµÚ¶þ¾äÔò×ÅÖØÇ¿µ÷ÁËËüÓÐÒ»¸öºÍ¶¯ÎïÒ»ÖµĻùÒò¡£ÁíÍâÒ»¸öÀý×Ó£º

The enthalpy of hydrogen bond formation between the nucleoside bases 2-deoxyguanosine (dG) and 2-deoxycytidine (dC) has been determined by direct measurement.

Õâ¸ö¾ä×Ó¿´ÆðÀ´ºÃÏñÊÇÔÚÇ¿µ÷¡°direct measurement ¡±¡£Õⲻ̫ÏñÊÇÔ­×÷ÕßµÄÄ¿µÄ¡£µßµ¹Ò»Ï»áʹ¾ä×Ó¸ü¼Óƽºâ¡£

We have directly measured the enthalpy of hydrogen bond formation between the nucleoside bases 2-deoxyguanosine (dG) and 2-deoxycytidine (dC).

еľä×Ó¸ü¼òµ¥¶øÇÒ¸ü¶Ì£¬Í¬Ê±±ÜÃâÁËÍ·ÖØ½ÅÇáµÄÖ¢×´¡£×ÜÖ®£¬¾äβÊǶÁÕ߶Ըþä×îºóµÄÓ¡Ïó¡£°Ñ×îºÃµÄ£¬×îÖØÒªµÄ£¬ºÍÏëÒª¶ÁÕß¼ÇסµÄ¶«Î÷·ÅÔÚ¾äβ¡£

¶ÁÕß¶Ô¶ÎÂäµÄÆÚÍû

ÿһ¸ö¶ÎÂä¶¼Ó¦¸ÃÖ»½²Ò»¸ö¹ÊÊ¡£ÔÚÒ»¶ÎÀï±íÊö¶à¸ö¹Ûµã»áʹ¶ÁÕߺÜÄÑÖªµÀ¸Ã¼Çסʲô¡¢Õâ¶ÎÏë±í´ïʲô¡£Ò»¶ÎµÄµÚÒ»¾äÒª¸æËß¶ÁÕßÕâÒ»¶ÎÊǽ²Ê²Ã´µÄ¡£ÕâÑù¶ÁÕßÏëÌø¹ýÕâ¶Î¾Í¿ÉÒÔÌø¹ý¡£Ò»¶ÎµÄ×îºóÒ»¾äÓ¦¸ÃÊÇÕâ¶ÎµÄ½áÂÛ»òÕ߸æËß¶ÁÕßÏÂÒ»¶ÎÊÇʲô¡£¶ÎÂäÖеľä×ÓÓ¦¸ÃÓÉʼµ½ÖÕͨ¹ýÂß¼­¹ØÏµÁ¬½Ó£¬ÊµÏÖÓɾÉÐÅÏ¢µ½ÐÂÐÅÏ¢µÄÁ÷¶¯¡£±ÈÈçÕâÒ»¶Î£º[1]

The enthalpy of hydrogen bond formation between the nucleoside bases 2-deoxyguanosine (dG) and 2-deoxycytidine (dC) has been determined by direct measurement. dG and dC were derivatized at the 5 and 3 hydroxylith triisopropylsilyl groups to obtain solubility of the nucleosides in non-aqueous solventsand(sw)to prevent the ribose hydroxyls from forming hydrogen bonds. From isoperibolic titration measurements, the enthalpy of dC:dG base pair formation is -6.650.32 kcal/mol.

ºÜÄÑÖªµÀ×÷ÕßÔÚÕâ¶ÎÀïÏë±í´ïʲô¡£´ÓÕâ¶ÎµÄÆðʼºÍ½áÊø¿´À´£¬ìÊ(enthalpy) Ó¦¸ÃÊÇËûÏë±í´ïµÄÖØµã¡£ÏÂÃæÊÇÖØÐÂ×éºÏºóµÄ¶ÎÂä¡£[1]

We have directly measured the enthalpy of hydrogen bond formation between the nucleoside bases 2-deoxyguanosine (dG) and 2-deoxycytidine (dC). dG and dC were derivatized at the 5 and 3 hydroxyls with triisopropylsilyl groups; these groups serve both to solubilize the nuclides in non-aqueous solvents and to prevent the ribose hydroxyls from forminghydrogenbond(eos)s. The enthalpy of dC:dG base pair formation is -6.650.32 kcal/mol according to isoperibolic titration measurements,
Ê×¾äÃèÊöÁËÕû¶ÎµÄÖ÷Ìâ¡£Ô­¶ÎÀïµÄµÚÒ»¾äµßµ¹ÊÇΪÁË1£© ʹÐÂÐÅÏ¢¡°dG ¡±ºÍ¡°dC¡± ÔÚ¾ä×Ó×îºó²¢Ç¿µ÷ËüÃÇ¡£2£© ¸üºÃµØ¸úÏÂÃæÒ»¾äÏνӡ£Ô­¶ÎÀïµÄµÚ¶þ¾ä±»·Ö³ÉÁ½²¿·Ö£¬ÕâÑùÿһ²¿·ÖÖ»±í´ïÁËÒ»¸ö¹Ûµã¡£×îºóÒ»¾äʱ×ܽáÕû¶Î¡£ÔÙ¿´ÁíÒ»¸öÀý×Ó£º

Large earthquakes along a given fault segment do not occur at random intervals because it takes time to accumulate the strain energy for the rupture. The rates at which tectonic plates move and accumulate strain at their boundaries are approximately uniform. Therefore, in first approximation, one may expect that large ruptures of the same fault segment will occur at approximately constant time intervals. If subsequent main shocks have different amounts of slipacross the fault, then the recurrence time may vary, and the basic idea of periodic main shocks must be modified.

ÔÚÕâ¸öÀý×ÓÀǰÁ½¾ä¹²Í¬²ûÃ÷ÁË»ýÀÛÕÅÁ¦µÄËÙ¶È£¨Rate Of Strain Accumulation)¡£È»¶ø£¬µÚÒ»¾äÀïµÄ¾ÉÐÅÏ¢²¢Ã»ÓзÅÔÚµÚ¶þ¾äµÄ¿ªÊ¼¡£¶ÁÕß¶Áµ½µÚÈý¾äµÄʱºòͨ³£¾Í²»Ã÷°×Õâ¶Îµ½µ×Òª½²Ê²Ã´ÁË¡£¸üÇåÎúµÄÃèÊöÓ¦¸ÃÈçÏ£º

Large earthquakes along a given fault segment do not occur at random intervals because it takes time to accumulate the strain energy for the rupture. The rates of strain accumulation at the boundaries of tectonic plates are approximately uniform. Therefore, nearly constant time interval(at first approximation) would be expected between large ruptures of the same fault segment.(s)[However?], the recurrence time may vary; the basic idea of periodic main shocks may need to be modified if subsequent main shocks have different amounts of slip across the fault.

жÎÏÖÔÚ×ÅÖØ²ûÃ÷Á˵ØÕðµÄ·¢ÉúƵÂÊ¡£Ï»®Ïß±êÃ÷ÁËÒÔǰÃèÊö¹ýµÄ¾ÉÐÅÏ¢¡£ºÜÃ÷ÏÔ£¬Ð¾ÉÐÅÏ¢µÄÁ¬½ÓÊÇÀí½âÕâ¶ÎµÄ¹Ø¼ü¡£´Ó¾ÉÐÅÏ¢µ½ÐÂÐÅÏ¢µÄÁ÷¶¯ÊÇʹ¶ÁÕßÇáËÉÔĶÁµÄ×î¼Ñ·½Ê½¡£Ð´ÎÄÕµÄÄ¿µÄ²»ÊÇÈ¥²âÊÔ¶ÁÕßµÄÔĶÁÄÜÁ¦£¬¶øÊÇ¿¼Ñé×÷Õߵıí´ïÄÜÁ¦¡£²»ÄܹÖÈËû¿´¶®£¬Ö»ÄܹÖ×Ô¼ºÃ»Ð´Çå³þ¡£³£³£Ìýµ½ÕâÑùµÄ±§Ô¹£ºÄÇÉó¸åÈËÁ¬Õâ¶¼²»¶®! Éó¸åÈËÒ²¿ÉÒÔ˵£ºÁ¬Õâ¸öҲд²»Çå³þ¡£

¶ÁÕß¶Ôͼ±íµÄÆÚÍû

һЩûÓÐÄÍÐĵĶÁÕß»áÖ±½Óͨ¹ýͼ±íÀ´ÅжÏһƪÎÄÕÂÊÇ·ñÖµµÃÒ»¶Á¡£ÔõÑùÄÜʹ¶ÁÕß²»Ðè¶ÁÕýÎľÍÄÜÀí½âͼ±íÊÇÖÁ¹ØÖØÒªµÄ¡£¶ÔÓÚ±íÀ´Ëµ£¬ÓÉÓÚÎÒÃÇÊÇ´Ó×óÏòÓÒÔĶÁµÄ£¬ÎÒÃÇÊìϤµÄÐÅÏ¢Ó¦¸Ã³öÏÖÔÚ×ó±ß¶øÐµÄÐÅÏ¢³öÏÖÔÚÓұߡ£ÀýÈ磬ÏÂÃæÁгöµÄ±í1ºÍ±í2Êǽö½öµ÷»»ÁËÁ½ÁС£±È½ÏÒ»ÏÂÄǸö±í¸ñ¸üÒ×Àí½â¡£

±í£±:

Temp (¡ãC)   Time
    25             0
    27             3
    29             6
    32            12
    32            15

±í2:
Time        Temp (¡ãC)
             25
             27
            29
12             32
15             32 

ÏÔÈ»ÒòΪÎÒÃǸüÊìϤʱ¼ä×÷Ϊ¶ÀÁ¢±äÁ¿£¬±í2¾Í±È±í1ÈÝÒ×¶ÁЩ¡£ÖƱíµÄÁíÒ»Ìõ¹æÔòÊǰÑ×îºÃµÄÁôÔÚ×îºó¡£Ò²¾ÍÊÇ×îÄÜʹÈ˸ÐÐËȤµÄ½á¹ûÓ¦¸Ã·ÅÔÚ×îÓÒ±ßÒ»ÁлòÔÚ×îºóÒ»ÐУ¬ÒòΪÕâЩµØ·½ÊǶÁÕß½áÊøÔĶÁ²¢ÄÜÁôÏÂÓ¡ÏóµÄµØ·½¡£ÏÂÃæµÄÀý×ӱȽÏÁ˸÷ÖÖ·½·¨µÄ¾«¶È¡£×îºóÒ»ÐÐչʾÁËÏÖÔڵõ½µÄ½á¹û¡£

±í3:

Benchmark    SALIGN      Lindahl    PROSPECTOR 3      LiveBench 8
Method       Alignment    MaxSub     MaxSub            MaxSub
SPARKS       53.1%        325.9      529.0             38.3
SPARKS2      54.9%        341.0      591.0             40.7
This work    56.6%        349.2      601.9             42.2

¶ÔÓÚͼ£¬ÎÒÃÇÖÁÉÙÓ¦¸Ã¶ÔËùÓеıêÇ©£¨Êý×Ö¡¢×ù±êºÍ˵Ã÷£©Ê¹ÓôóµÄºÚÌåHelvetica ×ÖÌå¡£Ö»»­³öÖØÒªµÄÇøÓò¡£¾¡Á¿²»ÓòÊÉ«¾ÍÄÜʹÇúÏß´ïµ½×î´óµÄÇø·Ö£¨²ÊÉ«µÄͼºÜ¹ó)¡£[2]

¡­¡­ ÕâÊÇÎÒϲ»¶µÄÒ»¸öͼ¡£Ëü˵Ã÷ÁËһЩ»­Í¼µÄÔ­Àí¡£¶ÔÄãµÄ¹¤×÷ÓÃʵÏß¶ø¶Ô±ðÈ˵Ť×÷Óõ㻭Ïß¡£¼ä¸ôʹÓÃʵÐĺͿÕÐÄ·ûºÅÀ´Ê¹ÇúÏßÖ®¼äµÄ²»Í¬¸ü¼ÓÃ÷È·¡£Ïêϸ˵Ã÷XºÍY×ù±ê£¬±êÌâ²»ÓÃËõд¡£

¹²3Ò³£º1 [2] [3] ÏÂÒ»Ò³


¼ÆËã»ú·¸×ï¶Ô²ßÓëÑо¿
¼ÆËã»úרҵӢÓïµÄÒ»Ð©ÌØµã