Q2VUH7 AF NFT

Dixin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihi763q2ipo3batzl5a6fvbtppldltaxzjy7r5bqycwbmyslopai4/metadata.json
IPFS of structure file: 
bafybeifyjo3lfygk4crgy3hbfydkjrwrfw6g27e57odeqechgvgdxisis4/AF-Q2VUH7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD8181c44e77460dc4278886267608d4Cf45E86B0
First NFT owner address (bech32): 
genesis1mqvpc388w3sdcsnc3p3xwcydfn69ap4sz2kz6v
Current NFT ID #98561 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
98561
Accession (UniProt):
Q2VUH7
Name::
Dixin
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 Q2VUH7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2VUH7|DIXC1_RAT Dixin OS=Rattus norvegicus OX=10116 GN=Dixdc1 PE=2 SV=2 MLACLTRGNLLDVLQEGFNEQQLQAYVAWVNAQLKKRPSVKPVQDLRQDLRDGVILAYLIEIVAGEKLSGVQLSPSNQQEMKSNVERVLQFVASKNIRMHQTSAKDIVEGNLKSIMRLVLALAAHFKPGSSRTVSQGRDSRTSVQSHQPHCATAVAQGAAAALADVCHDVSRSGRDVFRYRQRNASVDEEIENPYWSVRALVQQYEGQQRSPSESSCSSLTSPSPIHSAKSESIITQSEEKADFVIIPSEGIENRTDETGSPLSRDWRPGSPGTYLEATWEEQLLEQQEHLEKEMEEAKKMISGLQALLLNGSLPEDEQERPVALCEPGVNPEEQLIIIRSRLDQSMEENQDLKKELLKCKQEARNLQGIKDALQQRLTQQDTSVLQLKQELLRANMDKDELHNQNVDLQRKLDERNRLLGEYKKDLGQKDRLLQQQQAKLEDALRKLSDASYQQVDLERELEQKDVLLAHRVKGDTDEVTNYNSHSSQRNGFVLPVAGRAATTATHRGPQSSDLQLVRDALRSLRNSFSGHDPQHHTIDSLEQGISSLIERLHVIETQKKQERKVRGRSPRNQASSEYRASWPPNSTLPHSQSSPAVSNTCTKVLYFTDRSLTPFMVNIPKRLGEVTLKDFKAAIDREGSHRYHFKALDPEFGTVKEEVFHDDDAIPGWEGKIVAWVEDHREN