A0JNH1 AF NFT

Centrosomal protein kizuna

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihdyyqjy3sqle2hbhihyuzzdqvmwma6il3i7jo2hx4yv3udtg3ycy/metadata.json
IPFS of structure file: 
bafybeihmkudxynhpvj3m4i2kutohxv5wigiph47s7dg7oy6uej7dor3o4e/AF-A0JNH1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x67Cfa51D47d3aEF6be80EF3a7dDDb43e89bf6Ade
First NFT owner address (bech32): 
genesis1vl8628286wh0d05qaua8mhd586ym76k7rz6qdg
Current NFT ID #203666 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
203666
Accession (UniProt):
A0JNH1
Name::
Centrosomal protein kizuna
Experimental Method:
Predicted structure
Sequence source:
BOS TAURUS

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 A0JNH1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0JNH1|KIZ_BOVIN Centrosomal protein kizuna OS=Bos taurus OX=9913 GN=KIZ PE=2 SV=2 MTERSGRGGGTRGASALPSPDYYEQVAHLQQGLRNSEKKRLDLERKLYEYHQSDVCRAKLKYIKLKKYLKEICESEKNARIRNQEYLKQFERIQANITASLEKLQELKIEFETQIKKMQLLSKDSLGKKGELKDEDKEKVVMRAEINSGTAMSRGLYQPATIFMGRQMSAVSGIGDFTTERKSPQPTKNFSIPDPHSHQQTAQSSDVTGSRVVQTPGDTQCLNKSDKIDGKTSLQIGEKTPVTASALSEEEQTHCFEIGSNACQSKSNLSEGKKSAELHSPLWERLSPENRTTDLKCDSSRRSEGSEGEILTREHIEVEEERARPPVSPLSGSESCASENECPQEKPPARKASSDHLPCEDSQSQEPFRKKQEEQEEESLSSSSDLTVSVSEDDLILKSPELQTNLGDTMEQEDGTETLNVIHSEQERDAPSTGKPNCILQAPSTPDSPNESFTNLPAKELCNHSDILREGPDAYRTAVLHQLSQLCPRGGSDKEQVRFEQTPASGLLRTRSGQHIAALKGHDTFVQEEEVAKLSGVFLVSKLDQRTKATALLKKDLAEEHDNRLAVHSSKSSCSLPSTPSDESGIRNGKPTLWPKGVTTREQEDESREESTEESMAARMPITETKAYQRLKQSALQGSTHQAGDGFQEATAPTSQPPGLKTGSGTFKTKTTHKIASEASFSSSEGSPLSRHENEGKLTTNLKSKAFWSESDESNSEIEAALRPRTP