Q4V9H3 AF NFT

Draxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifqvtj75r7urw4eorhuv4erb6v4j6cb4yhhwr2refq2khiskdexn4/metadata.json
IPFS of structure file: 
bafybeibia24hxl76kxqbjerb3cz5u4hxn7rbuxdoya3w7mh3zw2jc4zl34/AF-Q4V9H3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7F0868Ee41f382B94b230ABd8C59BA1b1A065A18
First NFT owner address (bech32): 
genesis10uyx3mjp7wptjjerp27cckd6rvdqvkscrkxzvl
Current NFT ID #104874 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
104874
Accession (UniProt):
Q4V9H3
Name::
Draxin
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q4V9H3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q4V9H3|DRAXI_DANRE Draxin OS=Danio rerio OX=7955 GN=draxin PE=2 SV=2 MVAPGLCQLFILLLITLSHTSHSSEISSDHFKQSLTTSTTTSKEHPETGLTGGRQQKRHWSGKERDSAGLFSQRHMDRLEDDGTSMEGLSPVRLEMGPGDTMKAEVHGEVRASAQMRQGSHPAEGELNRKGRRHSHRLLAEHRKHGGKKDKGRGKGDLSDPEPELDSLLKDLNAFEDGLNTSPPNYNSVPLNEVPSPLSPILVTTAIKGHPPTLPPASTKPQKSSQGRTQGEVMPTLDMTLFDWTDYEDMKPADSWPSNKRKDKRRSKNKSNGNTTTEAGIVEPCDHHLDCLSGSCCDLREFECKPHNRGLNNKCFDDCMCEEGLRCYAKFHRKRRVTRRRGRCVDPESVNSNQGAFITV