A6ZV04 AF NFT

U1 small nuclear ribonucleoprotein component SNU71

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih5mlt3mv35u63s67m66fybyousukooa6lmcpeyv7uj3atrsdabga/metadata.json
IPFS of structure file: 
bafybeid36qk4hiica2jq4f6rnmjpmzucpi6w5fwws42pppccjyqbdvhrci/AF-A6ZV04-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x345585dbF776Bf14717b67b7BbcBaf9f0e6524e0
First NFT owner address (bech32): 
genesis1x32ctklhw6l3gutmv7mmhja0nu8x2f8qr52yjk
Current NFT ID #431920 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
431920
Accession (UniProt):
A6ZV04
Name::
U1 small nuclear ribonucleoprotein component SNU71
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN YJM789)

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 A6ZV04 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6ZV04|SNU71_YEAS7 U1 small nuclear ribonucleoprotein component SNU71 OS=Saccharomyces cerevisiae (strain YJM789) OX=307796 GN=SNU71 PE=3 SV=1 MRDIVFVSPQLYLSSQEGWKSDSAKSGFIPILKNDLQRFQDSLKHIVDARNSLSETLLNSKDDGSIHNSDQNTGLNKDKEASIADNNSANKCATSSSRYQELKQFLPISLDQQIHTVSLQGVSSSFSRGQIESLLDHCLNLALTETQSNSALKVEAWSSFSSFLDTQDIFIRFSKVDEDEAFVNTLNYCKALFAFIRKLHEDFKIELHLDLNTKEYVEDRTGTIPSVKPEKASEFYSVFKNIEDQTDERNSKKEQLDDSSTQYKVDTNTLSDLPSDALDQLCKDIIEFRTKVVSIEKEKKMKSTYEESRRQRHQMQKVFDQIRKNHSGAKGSANTEEEDTNMEDEDEEDDTEDDLALEKRKEERDLEESNRRYEDMLHQLHSNTEPKIKSIRADIMSAENYEEHLEKNRSLYLKELLHLANDVHYDHHRSFKEQEERRDEEDRAKNGNAKELAPIQLSDGKAISAGKAAAITLPEGTVKSENYNADKNVSESSEHVKIKFDFKKAIDHSVESSSEDEGYRESELPPTKPSERSAAEDRLPFTADELNIRLTNLKESRYVDELVREFLGVYEDELVEYILENIRVNQSKQALLNELRETFDEDGETIADRLWSRKEFRLGT