>DHFR (159 residues) MTLSILVAHDLQRVIGFENQLPWHLPNDLKHVKKLSTGHTLVMGRKTFESIGKPLPNRRN VVLTSDTSFNVEGVDVIHSIEDIYQLPGHVFIFGGQTLFEEMIDKVDDMYITVIEGKFRG DTFFPPYTFEDWEVASSVEGKLDEKNTIPHTFLHLIRKK |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MTLSILVAHDLQRVIGFENQLPWHLPNDLKHVKKLSTGHTLVMGRKTFESIGKPLPNRRNVVLTSDTSFNVEGVDVIHSIEDIYQLPGHVFIFGGQTLFEEMIDKVDDMYITVIEGKFRGDTFFPPYTFEDWEVASSVEGKLDEKNTIPHTFLHLIRKK |
Prediction | CSSSSSSSSCCCCCSCCCCCCCCCCHHHHHHHHHHHCCCSSSSSCCHHHHCCCCCCCCSSSSSSCCCCCCCCCSSSSSCHHHHHHHCCCSSSSCCHHHHHHHHHHCCSSSSSSSCCCCCCCSSCCCCCHHHCSSSSSSSCCCCCCCCCCSSSSSSSSCC |
Confidence | 959999999289964289971762749999999985698399936715538887899859999368887899979990899998626967998469999999997999999997774365332899994656999998535677899646999999869 |
H:Helix; S:Strand; C:Coil | |
Sequence |
20 40 60 80 100 120 140 | | | | | | | MTLSILVAHDLQRVIGFENQLPWHLPNDLKHVKKLSTGHTLVMGRKTFESIGKPLPNRRNVVLTSDTSFNVEGVDVIHSIEDIYQLPGHVFIFGGQTLFEEMIDKVDDMYITVIEGKFRGDTFFPPYTFEDWEVASSVEGKLDEKNTIPHTFLHLIRKK |
Prediction | 440100000043310046450213146115303511443000102111420441256220000023451526302003124301620640000112200420052033010030465160002005134740531455635346746150312334458 |
Values range from 0 (buried residue) to 8 (highly exposed residue) | |
Rank | PDB hit | ID1 | ID2 | Cov | Norm. Zscore | Downloadalignment | 20 40 60 80 100 120 140 | | | | | | | | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
SS Seq | CSSSSSSSSCCCCCSCCCCCCCCCCHHHHHHHHHHHCCCSSSSSCCHHHHCCCCCCCCSSSSSSCCCCCCCCCSSSSSCHHHHHHHCCCSSSSCCHHHHHHHHHHCCSSSSSSSCCCCCCCSSCCCCCHHHCSSSSSSSCCCCCCCCCCSSSSSSSSCC MTLSILVAHDLQRVIGFENQLPWHLPNDLKHVKKLSTGHTLVMGRKTFESIGKPLPNRRNVVLTSDTSFNVEGVDVIHSIEDIYQLPGHVFIFGGQTLFEEMIDKVDDMYITVIEGKFRGDTFFPPYTFEDWEVASSVEGKLDEKNTIPHTFLHLIRKK | |||||||||||||||||||
1 | 3fl8A | 0.42 | 0.42 | 12.38 | 1.50 | DEthreader | MIVSFMVAMDENRVIGKDNNLPWRLPSELQYVKKTTMGHPLIMGRKNYEAIGRPLPGRRNIIVTRNEGYHVEGCEVAHSVEEVFECNEEIFIFGGAQIYDLFLPYVDKLYITKIHHAFEGDTFFPEMDMTNWKEVFVEKGLTDEKNPYTYYYHVYEKQQ | |||||||||||||
2 | 3fl8A | 0.42 | 0.42 | 12.38 | 1.50 | DEthreader | MIVSFMVAMDENRVIGKDNNLPWRLPSELQYVKKTTMGHPLIMGRKNYEAIGRPLPGRRNIIVTRNEGYHVEGCEVAHSVEEVFECNEEIFIFGGAQIYDLFLPYVDKLYITKIHHAFEGDTFFPEMDMTNWKEVFVEKGLTDEKNPYTYYYHVYEKQQ | |||||||||||||
3 | 3fyvX | 1.00 | 0.99 | 27.82 | 2.94 | SPARKS-K | -TLSILVAHDLQRVIGFENQLPWHLPNDLKHVKKLSTGHTLVMGRKTFESIGKPLPNRRNVVLTSDTSFNVEGVDVIHSIEDIYQLPGHVFIFGGQTLFEEMIDKVDDMYITVIEGKFRGDTFFPPYTFEDWEVASSVEGKLDEKNTIPHTFLHLIRKK | |||||||||||||
4 | 7rzoA | 0.39 | 0.38 | 11.35 | 0.67 | CEthreader | MKLSMIVALDRNRGIGQGNAMPWHLPDDFKHFKALTLGKPILMGRKTAESIGRVLPGRTNLVLTRSGQVPFEGMRAVASLDEAKTIASELCIIGGGEIFHQLLDQASDLYLTWVDAEIPADTHFPEVDMQDWREVSSEPHPADERHAYAFRFAHYVRR- | |||||||||||||
5 | 7yavB2 | 0.13 | 0.12 | 4.12 | 0.22 | MUSTER | IITIISATFH-----GSRDRLLPLMQEEFPELG-LGKEDFKEMSWVQSIVHNYKDDDPLEVLLNKTVNFEPNPSDYVKKLEKLLARLYEFFPYGGTTRINNHLSWVRSVY----------DSMTPYVSKNPR-FRDLDIGVNPNESDTTSAYNYVKQAS | |||||||||||||
6 | 3fl8A | 0.43 | 0.43 | 12.55 | 1.73 | HHsearch | MIVSFMVAMDENRVIGKDNNLPWRLPSELQYVKKTTMGHPLIMGRKNYEAIGRPLPGRRNIIVTRNEGYHVEGCEVAHSVEEVFELCEEIFIFGGAQIYDLFLPYVDKLYITKIHHAFEGDTFFPEMDMTNWKEVFVEKGLTDEKNPYTYYYHVYEKQQ | |||||||||||||
7 | 3fl8A | 0.43 | 0.43 | 12.55 | 2.67 | FFAS-3D | MIVSFMVAMDENRVIGKDNNLPWRLPSELQYVKKTTMGHPLIMGRKNYEAIGRPLPGRRNIIVTRNEGYHVEGCEVAHSVEEVFELCEEIFIFGGAQIYDLFLPYVDKLYITKIHHAFEGDTFFPEMDMTNWKEVFVEKGLTDEKNPYTYYYHVYEKQQ | |||||||||||||
8 | 4q6aA | 0.99 | 0.97 | 27.31 | 2.56 | CNFpred | -TLSILVAHDLQRVIGFENQLPWHLPNDLKHLKKLSTGHTLVMGRKTFESIGKPLPNRRNVVLTSDTSFNVEGVDVIHSIEDIYQLPGHVFIFGGQTLYEEMIDKVDDMYITVIEGKFRGDTFFPPYTFEDWEVASSVEGKLDEKNTIPHTFLHLIRK- | |||||||||||||
9 | 4m7uA | 0.46 | 0.46 | 13.39 | 1.50 | DEthreader | GMLAAIWAQDEQGVIGKEGKLPWHLPNDLKFFKEKTIHNTLVLGRATFEGMGRPLPNRTTIVLTSNPDYQAEGVLVMHSVEEILAYYGVTVIGGGSVVFKELIPACDVLYRTMIHETFEGDTFFPEIDWSVWEKVATVPGVVDEKNLYAHDYETYHRN- | |||||||||||||
10 | 3ix9A | 0.30 | 0.30 | 9.15 | 1.50 | DEthreader | KKIVAIWAQDEEGVIGKDNRLPWYLPAELQHFKETTLNHAILMGRVTFDGMGRLLPKRETLILTRNPEEKIDGVATFHDVQSVLDWQKNLYIVGGKQIFQAFEPYLDEVIVTHIHARVEGTYFPAEFDLSLFETVSSKFYTKDEKNPYDFTIQYRKRKE | |||||||||||||
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References: | |
1. | Wei Zheng, Qiqige Wuyun, Yang Li, Quancheng Liu, Xiaogen Zhou, Yiheng Zhu, P. Lydia Freddolino, Yang Zhang. Integrating deep learning potentials with I-TASSER for single- and multi-domain protein structure prediction. Submitted. 2023. |