Q9Y2Y4 AF NFT

Zinc finger and BTB domain-containing protein 32

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiefom47arzjdfm3waktbquhu2bqn5p377n3n7wupbvfmtwsvuaofu/metadata.json

IPFS of structure file:

bafybeihjwpbibk2qzot3ku7kgdrflj2vg2t37zadlpgurssmp3zxcopy6i/AF-Q9Y2Y4-F1-model_v2.pdb

First NFT owner address (eip-55):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First NFT owner address (bech32):

genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92

Current NFT ID #539904 owner (web3):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
539904
Accession (UniProt):
Q9Y2Y4
Name::
Zinc finger and BTB domain-containing protein 32
Experimental Method:
Predicted structure
Sequence source:
HOMO SAPIENS

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 Q9Y2Y4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9Y2Y4|ZBT32_HUMAN Zinc finger and BTB domain-containing protein 32 OS=Homo sapiens OX=9606 GN=ZBTB32 PE=1 SV=1 MSLPPIRLPSPYGSDRLVQLAARLRPALCDTLITVGSQEFPAHSLVLAGVSQQLGRRGQWALGEGISPSTFAQLLNFVYGESVELQPGELRPLQEAARALGVQSLEEACWRARGDRAKKPDPGLKKHQEEPEKPSRNPERELGDPGEKQKPEQVSRTGGREQEMLHKHSPPRGRPEMAGATQEAQQEQTRSKEKRLQAPVGQRGADGKHGVLTWLRENPGGSEESLRKLPGPLPPAGSLQTSVTPRPSWAEAPWLVGGQPALWSILLMPPRYGIPFYHSTPTTGAWQEVWREQRIPLSLNAPKGLWSQNQLASSSPTPGSLPQGPAQLSPGEMEESDQGHTGALATCAGHEDKAGCPPRPHPPPAPPARSRPYACSVCGKRFSLKHQMETHYRVHTGEKPFSCSLCPQRSRDFSAMTKHLRTHGAAPYRCSLCGAGCPSLASMQAHMRGHSPSQLPPGWTIRSTFLYSSSRPSRPSTSPCCPSSSTT

MOLNFT AF v1_w

NFT data

MOLNFT Q9Y2Y4 research and analysis (ICN3D with VR)

FASTA sequences

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