B4F7E8 AF NFT

Protein Niban 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigpklor6pnsbupxvqnasxrbgev3za6tmoppn6kgy73vfeij6kxaom/metadata.json
IPFS of structure file: 
bafybeiceweosa4utd65slqgyfv3ess4pr2puzoigfmvklitfiexmderwee/AF-B4F7E8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf4ED13986579E8e227b3ED6c02276c648754EC27
First NFT owner address (bech32): 
genesis17nk38xr9085wyfana4kqyfmvvjr4fmp80usw7n
Current NFT ID #264887 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
264887
Accession (UniProt):
B4F7E8
Name::
Protein Niban 2
Experimental Method:
Predicted structure
Sequence source:
RATTUS NORVEGICUS

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 B4F7E8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B4F7E8|NIBA2_RAT Protein Niban 2 OS=Rattus norvegicus OX=10116 GN=Niban2 PE=1 SV=1 MGDVLSTHLDDARRQNIAEKTEKILREFLRFYEDQYGVSLFNSMRHEIEGTGPPQAQLLWRKVPLDERIIFSGNLFQYQEDNKKWRNRFSLVPHNYGLVLYENKVAYERQIPPRAVINSAGYKVLTSLDQYLELVGNSLPGTTSKSGSTPILKCPTQFPLILWHPYARHYYFCMMTEAEQDKWQAVLQDCVRHCNNGIPENSKVEGPAFTDAIRMYRQSKEQYGTWEMLCGNEVQILSNLVMEELGPALKTELGPRLKGKPQERQRQWIQISDAVYRLVFEQAKVHFEEVLCKLQLARPAMEAVIRTDMDQIITSKEHLASKIRAFILPKAEVCVRNHVQPYIPSILEALMVPTSQGFTEVRDVFFKEVTDMNLNVINEGGIDKLGEYMEKLSQLAYHPLKMQSCYEKMEPLRLDGLQQRFDVSSTSVFKQRAQIHMREQMDNAVYTFETLLHQELGKGPTKEELCKSIQRILERVLKKYDYDSSSVRKRFFREALLQITIPFLLKKLAPTCKSELPRFQELIFEDFARFILVENTYEEVVLQTVMKDILQAVKEAAVQRKHNLYRDSVVLHNSDPNLHLLAEGAPIDWGEQYGDGGDGSDSGGSPCPSEAATLTEKRRRAKQVVSVVQDEESGLPFEAGSEPPSPASPDNVTELRGLLAQDLQAESSPPASPLLNGAPVQESPQPMTVLEASPPASPLRHLPPGKAVDLEPPKPSDQETGEKVSSPGSRPPIHTTTEDSAGVQTEF