Tools     Alignment Analysis   Databases   Computational Immunology   Modelling & 3D-structure     Analysis   Sequence Manipulation &     Analysis   Similarity Searches   View all Tools    Tools    >> MHCLIG MHCLIG  Ligand-type specificity of classical and non-classical MHCI molecules Plea for Support If you have found this resource useful for your research, please, tell SPAIN RESEARCH AGENCY (direccion@aei.gob.es, secretaria.general@aei.gob.es) & U.C.M. Research Office (sec.investigacion@ucm.es, vr.investigacion@ucm.es). Your support is crucial to keep it up and running. INPUT Replace example with your sequence/s (FASTA Format) >UL18(YP_081477) #1 HVLRYGYTGIFDDTSHMTLTVVGIFDGQHFFTYHVQSSDKASSRANGTIS WMANVSAAYPTYLDGERAKGDLIFNQTEQNLLELEIALGYRSQSVLTWTH ECNTTENGSFVAGYEGFGWDGETLMELKDNLTLWTGPNYEISWLKQQKTY IDGKIKNISEGDTTIQRNYLKGNCTQWSVI >BF2(NP_001026509) Chicken_BF2_2101 #2 HTLRYIRTAMTDPGPGLPWFVDVGYVDGELFMHYNSTARRAVPRTEWIAANTDQQYWD RETQIVQGSEQINRENLDILRRRYNQT-GGSHTVQWMSGCDILEDGTIRGYHQAAYDGR DYIALNEDLKTWTAADFAAQKTRNKWDQAGVAERHKAYLEGTCVEWLGRYLEHGKETL >Yf17.1 (NP_001074336) Chicken_Yf17.1 #3 SHSLRYFLTGMTDPGPGMPRFVIVGYVDDKIFGTYNSKSRTAQPIVEMLPQEDQEHWD TQTQKAQGGERDFDWNLNRLPERYNKSKGSHTMQMMFGCDILEDGSIRGYDQYAFDGR DFLAFDMDTMTFTAADPVAEITKRRWETEGTYAERWKHELGTVCVQNLRRYLEHGKAALK >gi|50295973|HLAF|1 #4 SHSLRYFSTAVSRPGRGEPRYIAVEYVDDTQFLRFDSDAAIPRMEPREQWVEQEGPQYWE WTTGYAKANAQTDRVALRNLLRRYNQSEAGSHTLQGMNGCDMGPDGRLLRGYHQHAYDGK DYISLNEDLRSWTAADTVAQITQRFYEAEEYAEEFRTYLEGECLELLRRYLENGKETLQ >H2Q1 NP_034520 #5 SHSLRYFETSVSRPGFGKPRFISVGYVDDTQFVRFDSDAKNPRYEPRAPWMEQEGPEYWE RNTRRVKGSEKRFQESLSTLLSYYNQSKGGIHTFQKLSGCDLGSDGRLQSGYLQFAYDGL DYIALNEDLETWTAADVAAQETRHKWEQAGAAEKHRTYLEGKCLMWLHRYLELGKEMLL >H2Q2 NP_034522 #6 SHSMRYFETVVSRPGLGEPRYVSVGYVDDTEFVRFDSDAEKPRYEPRARWMEQEGPEYWE RITQIAKGHEQWFRVSLRKLLGYYNQSAGGSHTLQEMYGCDVGSDGRLLRGYRQSAYDGC DYIALNEDLKTWTAKDVAALITRRKWEQDGAAEYYKAYMEGECVQSLRRYLELGKETLL >H2M2 NP_032230 #7 SHSLRYFDIAVSRPGLEETHYMTVGYVDDTEFVHFDNEAENPRFEPRVPWMEQMGQKYWD DQTRIAKAAEQQIRVYFQKLRDYYNQSQNSSHTIQRMTGCYIGPDGHLLHAYRQFGYDGQ DYLTLNEDLSTWTAADAAAEITRREWEATNVAEFWRVYLEGPCMVWLFKYLTVGNETLL >H2M1 NP_808304 #8 SHTLRYVYTLLSWPGPLEPQLIFLGYVDDTQIMGFNSISENLGVESRAPWMYETEEFWEK TTDNVVREHYILKEIMRSVLHIYNYSIIGYHTIQKTYGCQVMHRRYFSHGFFKLAFNLHD YITLNEDLKTWRGVGKAGEMLKEMWEKIKYANQVKSFLQITCVNLLHRFLAFGKKSLL >H2M9 NP_032231 #9 SHTLRFVSTFLSWPRHLELQFIFLIYVDETQIMGFNSISESQRMESRVPWLNELNAEFWE LATQDVLKEKSFVTGIMNKLLHIYNDSMTGYHIIQETYGCQVKQRTYFSHAFMELLFDTH DYITLNEDLQTWRAVGKAAEIVKEEWEKINLVKSSKSFLLGACVEGLLQYLNFGKKYLL >H2-M11 NP_808303 #10 THFFGFFQTLFTLPWMPKPQFISVGFVDDIQFERFNSRRDVQRTEHCAPWKDQKKPEYWK DNTDLVLSYFQDLTEILQRMLKIYNYSLTGYHTIQRRYGCYILPRGYFRNGFFEVVFNDH DSIRLNEDLSTWTPVGKFAEILREEWDSSGFTQNVKNFLEVECVDLFLTELEYGKEILL >H2M10.1 NP_038572 #11 SHWLQTFNIVILEPGMLEPRFIQVTYVDSIQYQGFDSKDPSAGMQPRAAWIELEPPEYWE KETSRVLELSQVERQVLRLMVKKNGHKMDGYHTLQEVYGCNVANDGSFLGGHYRLTYYGY DYLTLNEDLSSWTAEGKGAQHAKSRWEDAGEAKRRKTYLQGECVQRLLRYLDLGKETLL >H2M10.2 NP_808591 #12 SHWLQTFNTVILKHGTLEPRIIQVGYVDSIQYQGFDSKEPTARMQPRAAWMEQEPPEYWE KETAQVLRLSLTNERLLRYMMIYNEQSNEEYHTLQEVFGCNVDNDGSFLGGLYRLTYYGY EFINLNEDLSSWTAQGEAAGFLKTDLVNVGAAEGWRTYLLGECTERLLRCLDLGKETLL >H2-M10.3 NP_963902 #13 SHWLQTFNIAFLEPGMINSRFIHIGYVDSIQYQGFDSKEPMAILKPRAAWMEQELPKYWN VETTKILLLSQIERRILYFMIEKYEHRMNDYHTLQEVYGCNVATDGRFLHGHFRLTYYGY DYLTLNEDLSSWTAEGKGAEYMKNRWENMSEAERWKTYLRGECVQRLLRYLDLGKETLL >H2M10.4 NP_808302 #14 SHWLKTFRIVIMEPGILEPRFIQVSYVDSIQYQGFDSRSETAGMQPRAAWMKQEPPEYWK ETEHAMGASLLARRTLIYMVTENNNKKNDYHTLQEVFGCNVAHDGSFLGGHYGLTYYGYD YIILNEDLNSWTTEGKVGGKFNPDRTQGSVTEGWRTYLKGECTERFLRCLDLGKETLL >H2M10.5 NP_808305 #15 SHWLQTFNAVILEPGMVNSRFVHIGYVDSIEYQRYDSKEPIAVLLPRVAWMEQVPMTYWT SETASVAELSQLDRRILHFMVNKNEQRMDDYHTLQEVYGCNVANDGSFLGGHFRLTYYGY DDLYLNENLSSWIAHGNAAEYVKSRWDGEGDAERWKTYLQGVCVERLLRYMVLGKEALL >H2M10.6 NP_963905 #16 SHWLQIFNIVILEPGMLEARFIQVGYVDSIQFQGFDSKEPNARMQPRAAWMKQEPPEYWE KETAKALSFSLSGRRILKYMMSANKDKNNGYHTLQEVYGCNVANDGSFLEGHYRLTYYGY DSLILNEDLNSWTAEGEVGEKFKTYQEQGGMTESWRTYLLGECVERLLRCLDLGKKTLL >H2T24 NP_032233 #17 SHSLHYCYSAVTEPGPGVPSFLTSGFLDNQPFIHYDSRSMKAEPCADWLRENAQYFTHET EVFTNRMKIFQLSLRNIRQYYNSSGTQSQRAEFPSKAGPHTLQFTYGCEMRYNRTTGHWQ YGYDGSDYLTLDLGSMQYIAATFIAGYTKRKWENNEYWLEKEKTYLEKECILWLQRYLTM GGKNFT >H2T9 NP_034529 #18 SHSLRYFYTAVSRPGLGEPWFIIVGYVDDMQVLLFSSKEETPRMAPWLEQEEAGDWEQQT RIVTIQGQLSERNLMTLVHFYNKSVDDSHTLQWLQGCDVEPDRHLCLWYNQLAYDSEDLH TLNENPSSCTVGNSTVPHISQDLKSHCSDLLQKYLEKGKERLL >H2T10 NP_034525 #19 SHSLRYFYTAVSRPGLGEPWFIIVGYVDDMQVLRFSSKEETPRMAPWLEQEEADDWEQQT RIVTIQGQLSERNLMTLVHFYNKSMDDSHTLQWLQGCDVEPDRHLCLWYNQLAYDSEDLP TLSENPSSCTVG >H2T22 NP_034527 #20 SHSLRYFYTAVSRPGLGEPWFIIVGYVDDMQVLRFSSKEETPRMAPWLEQEEADNWEQQT RIVTIQGQLSERNLMTLVHFYNKSMDDSHTLQWLQGCDVEPDRHLCLWYNQLAYDSEDLP TLNENPSSCTVGNSTVPHISQDLKSHCSDLLQKYLEKGKERLL >hMr1 NP_001522 #21 THSLRYFRLGVSDPIHGVPEFISVGYVDSHPITTYDSVTRQKEPRAPWMAENLAPDHWER YTQLLRGWQQMFKVELKRLQRHYNHSGSHTYQRMIGCELLEDGSTTGFLQYAYDGQDFLI FNKDTLSWLAVDNVAHTIKQAWEANQHELLYQKNWLEEECIAWLKRFLEYGKDTLQ >mMr1 NP_032235 #22 THSLRYFRLAVSDPGPVVPEFISVGYVDSHPITTYDSVTRQKEPKAPWMAENLAPDHWER YTQLLRGWQQTFKAELRHLQRHYNHSGLHTYQRMIGCELLEDGSTTGFLQYAYDGQDFII FNKDTLSWLAMDYVAHITKQAWEANLHELQYQKNWLEEECIAWLKRFLEYGRDTLE or Upload sequence/s from file PREDICTION MODELS Select the prediction models you want to use MHCI562 Models kNN: K-nearest neighbour algorithm 99.91 % Accuracy SVM-RBFk: Support Vector Machine (SVM) with RBF kernel 99.77 % Accuracy MHCI556 Models SVM-RBFk: Support Vector Machine (SVM) with RBF kernel 100.00 % Accuracy kNN: K-nearest neighbour algorithm 99.94 % Accuracy SVM-Pk: SVM with Polynomial Kernel 99.46 % Accuracy MHCI500 Models SVM-RBFk: Support Vector Machine (SVM) with RBF kernel 100.00 % Accuracy kNN: K-nearest neighbour algorithm 100.00 % Accuracy SVM-Pk: SVM with Polynomial Kernel 99.42 % Accuracy BLAST      Citations: Martínez-Naves E, Lafuente EM & Reche PA (2011) FEBS letters 585 (21), 3478-3484 Martínez-Naves E, Lafuente EM & Reche PA (2011) Artificial Immune Systems, 2011, 55-65 Comments & Requests: Hits since November/2008 Last updated: Contact Us    |   Immunomedicine Group    |