Q7Y667 Protein Ycf2 MolNFT, Molecular NFT on GenesisL1

Protein Ycf2

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeicf3koium47hiz7vd5twacwwca4zzsmkfy7oc3tv7bm72mznopcza/metadata.json

IPFS of structure file:

bafybeia2gjdzmgbjixz43ofw3fpbwnfud4yupbxvgze6p4yj4kaubrey34/AF-Q7Y667-F1-model_v2.pdb

First NFT owner address (eip-55):

0x685918dD33916524cd922466318e1380616E7713

First NFT owner address (bech32):

genesis1dpv33hfnj9jjfnvjy3nrrrsnspskuacndcr0ce

Current NFT ID #526626 owner (web3):

0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
526626
Accession (UniProt):
Q7Y667
Name::
Protein Ycf2
Experimental Method:
Predicted structure
Sequence source:
Calycanthus floridus var. glaucus

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q7Y667 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7Y667|YCF2_CALFG Protein Ycf2 OS=Calycanthus floridus var. glaucus OX=212734 GN=ycf2-A PE=3 SV=1 MKRHQFKSWIFELREIKNSHYFLDSWTKFDSVGSFTHIFFHQERFMKLFDPRIWSILLSRDSQGSTSNRYFTIKGVVLLVVVVLIYRINNRNMVERKNLYLMGLLPIPMNSIGPRNDTLEESFWSSNLNRLIVSLLYLPKGKKISESCFMDPKESTWVLPITKKCIMPESNWGSRWWRNRIGKKRDSSCKISNETVAGIEISFKEKDIKYLEFLFVSYTDDPIRKDHDWEFFDRLSPRKKRNIINLNSGQLFEILVKHLICYLMSAFREKRPIEVEGFFKQQGAEATIQSNDIEHVSHLFSRNKRGISLQNCAQFHMWQFRQDLFVSWGKNRHELDFLRNVSRENLIWLDNVWLVNKDRFFSKVRNVSSNIQYDSTRSIFVQVTDSSQLKGSSDQSRDPFDSISNEDSEYHTLINQTEIQQLKERSILWGPSFLQTERTEIESDRLLKCLSGYSSMSRLFTEREKQMNNHLLPEEIEEFLGNPTRSIRSFFSDRWSELHLGSNPTERSTRDHKLLKKQQDVSFVPSRRSENQEIVDIFKIITYLQNTVSIHPISSDPGCDMVPKDEPDMDSSNKISFLNKNPFLDLFHLFHDRNKGGYRLHHDFESEERFQEMADLFTLSITEPGLVDHKGFAFSIDSYGLDQKKFLNEVFNSRDESKKKSLLVLPPIFYEENESFYRRIRKKSVRISCGNDLEDPKPKIVVFANNNIMEAVNQYRLIRNLMQIQYSTYGYIRNVSNRFFLMNRSDRNFEYGIQRDQIGNDTLNHLTIIKYTINQHLSNLKKSQKKWFDPLISRTERSMNRDPDAYRYKWSNGSKNFQEHLEHFVSEQKHRFQVVFDRLRINQYSIDWSEVIDKQDLSKSLRFFLSKSLLFLSKSLLFLSKSLPFFFVSIGNIPIHRSEIHIYELKGPNDQLCNQLLESIGVQIVHLNKLKPFLLDDHDTSQRSKFLINGGTISPNKIPKWMIDSFHTRNNRRKSFENTDSYFSMISHDRDNWLNPVKPFHRSSLISSFYKANRLRFLNHPHHFWFYCNKGFPFYVEKTRINNYDLTYGQFLNILFIRNKIFSLCVGKKKHVFLERDTISPIESQVSDIFIPNDFPQSGDETYNLYKSFHFPIRSDPFVRRAIYSIADISGTPLTEEQIVNFERTYCQPLSDMNLSDSEGKNLHQYLSFNSNMGLIHTPCSEKYLPSGKRKKRSLCLKKCVEKRQMDRTFQRDSAFSNLSKWNLFQTYMPWFLTSTGCKYLNLTLLDTFSDPLPILSSSQKFVSIFHDIMHGSDISWPIPQKKLWAILPQWNLISESSSKCLQNLLLSEEMIHRNNESPVPLIWTHLRSPNAWEFLYSILFLFLVAGYLVRTHLLFVSRASSELQTGLERIKSLMIPSYMIELRKLLDRYPTSEPNSFWLKNLFLVALEQLGDSLEKIRGSASGGNMLLGGGPAYGVKSIRSKKKYLNINLIDLISIIPNPINRITFSRNTRHLSRTSKEIYSLIRKRKNVNGDWIDDKIESWVANSDSIDDEEREFLVQFSTLTTEKGIDQILLSLTHSDHLSKNDSGYQMIEQPGSIYLRYLVDIHKKYLMNYEFNRSCLAERRIFLAHYQTITYSQTSCGANSSHFPSHGKPFSLRLALSPSRGILVIGSIGTGRSYLVKYLATNSYVPFITVFPNKFLDDKPKGYRIDDIDIDDSDDIDIDDSDDIDDDLDTELLTMTNVLTMYMTPKIDRFDITLQFELAKAMSPCIIWIPNIHDLYVNESNYLSLGLLVNYLSRDCERCSTRNILVIASTHIPQKVDPALIAPNKSNTCIKIRRLLIPQQRKHFFILSYTRGFHLEKKMFHTNGFGSITMGSNARDLVALTNEALSISITQKKSIIDTNTIRSALHRQTWDLRSQVRSVQDHGILFYQIGRAVAQNVLLSNCPIDPISIYMKKKSCKEGDSYLYKWYFELGTSMKKLTILLYLLSCSAGSVAQDLWSPPGPDEKNWITSYGFVENDSDLVHGLLEVEGALLGSSRTEKDCSQFDNDRVTLFLRSEPRNPLDMMQNGSCSIVDQRFLYEKYESEFEEGEREGALDPQQIEEDLFNHIVWAPRIWRPCGNLFDCIERTNELGFPYWARSFRGKRIIYHKEDELQENDSEFLQSGTMQYQTRDRSSKEQGFFRISQFIWDPADPFFFLFKDQPFVSVFSRREFFADEEMSKGLITSQTNPPTSIYKRWFIKNTQEKHFELLIHRQRWLRTNSSLSNGSFRSNTPSESYQYLSNLFLSNGTLLDQIAKALLRKRWLFPDEMKHLIHVTGERFPIP

Q7Y667 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q7Y667 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience