F4JSH1 AF NFT

Probable apyrase 7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihiwvrlbwemeespmfgy5fxpp4trk2zhrlazvwhiqfudyebz7lxbvu/metadata.json
IPFS of structure file: 
bafybeihxois3sfju3zcxjmxerpir5reqmhsvyl6xo3vf2t5kuhaawfrjfm/AF-F4JSH1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa73BAb1DabE4333A884D03393eAa10c3B4215494
First NFT owner address (bech32): 
genesis15ua6k8dtusen4zzdqvuna2sscw6zz4y5hahjw0
Current NFT ID #19531 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
19531
Accession (UniProt):
F4JSH1
Name::
Probable apyrase 7
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 F4JSH1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F4JSH1|APY7_ARATH Probable apyrase 7 OS=Arabidopsis thaliana OX=3702 GN=APY7 PE=2 SV=1 MVFGRITELFTAASSRLPAGSQSSVPYMPTGSSPDVGTSVSDSISIGNGGRKNCLRHSASLQDFSSYHGFDPEESILPREAISWGQNGSSFSKEKGSVPNGTNPSTRRKLIRAVMIVMCLFLFAFLVYIVSMYIYTNWSRGASRYYVVFDCGSTGTRAYVYQASINYKKDSSLPIVMKSLTEGISRKSRGRAYDRMETEPGFDKLVNNRTGLKTAIKPLIQWAEKQIPKNAHRTTSLFVYATAGVRRLRPADSSWILGNVWSILAKSPFTCRREWVKIISGTEEAYFGWTALNYQTSMLGALPKKATFGALDLGGSSLQVTFENEERTHNETNLNLRIGSVNHHLSAYSLAGYGLNDAFDRSVVHLLKKLPNVNKSDLIEGKLEMKHPCLNSGYNGQYICSQCASSVQGGKKGKSGVSIKLVGAPNWGECSALAKNAVNSSEWSNAKHGVDCDLQPCALPDGYPRPHGQFYAVSGFFVVYRFFNLSAEASLDDVLEKGREFCDKAWQVARTSVSPQPFIEQYCFRAPYIVSLLREGLYITDKQIIIGSGSITWTLGVALLESGKALSSTLGLKSYETLSMKINPIALISILILSLLLLLCALSRVSNCLPRFFRKSYLPLFRHNSTSASSVLNIPSPFRFQRWSPMSTGVKTPLSPTVRGSPRRPFSFGSSIQLMESSLYSSSSCVMHSCSSDSLGDIQYDSTGSFWSSPRRSQMRLQSRRSQSREDLSSSLADSHMLKM