Q03162 AF NFT

MYND-type zinc finger protein MUB1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig6o3sxehb5ghrv62nm2worh4ife5bw7xdssca7cfhciyigqkviqi/metadata.json
IPFS of structure file: 
bafybeicueoyinbladbhktt2rdbkrlvioebrhoj3j4bqfoghaskmiqxjawu/AF-Q03162-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD879FC084D55e6533D78D50DA43423F0f7F38fF8
First NFT owner address (bech32): 
genesis1mpulczzd2hn9x0tc65x6gdpr7rml8rlcl23gah
Current NFT ID #249258 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
249258
Accession (UniProt):
Q03162
Name::
MYND-type zinc finger protein MUB1
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 Q03162 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03162|MUB1_YEAST MYND-type zinc finger protein MUB1 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=MUB1 PE=1 SV=1 MRDSNHRSLTSNKPIVTITSTVYDRRALDINSSIPLINSLNYLTYLTSNSSKVRETVANDGALERLVSILRSCHLSLFELLDLDLENFNEHENIKDLWKEKRLALCAWKWTLTFQCLVLTGTRGTEQIRKKVVMSGVLSVLVTVLDNYLLYHKNYDFIKDQTMTFDFKGITTETMYKFMRKDENETYQQYIEFITGQDKLKLSTDKNFLNERLVAPSMTIPTDFSDIWGRFADLASNFEPDQERHDDDIDIDSEVESENFDAHKNFFSQPDINRPTISTPREFFLGRIVPKQDDVIWSLQLLAFVSKYTYMKSTLQNVELVESLSFRSMAYKIKQRISEENDLEEQERDVTVKLSSLYPYLSKNPENNSKVKALDTSKMDPFFKELEELSNRCQQEEQNEICNNHCPVLNLFERYRVPKPSDDNAYGKDKERINLRKKISDNFERRWSYDKMKKELTNIVYKNKVLTNVVNIFPLVEKYTVSAENTHDVIYWSSVIMRNSCRKNEILGVRQCANFSCGKWEDFPRQFAKCRRCKRTKYCSRKCQLKAWGYHRYWCHEVGSSHMRSTNTTTGVNTPNEPSSLNATATTAADVSNSTSTFTPNISTTVPDEISNRDENSIPE