Q9VD83 AF NFT

Bursicon

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihlll6ro2rip2i3hgepxrx5swdrgrq5eudm7dtgwnp2lj63rebrcu/metadata.json
IPFS of structure file: 
bafybeicnsf7s475okovmu37uj3tdbdtkm7evw4rwk5btq4ludthqoro4oi/AF-Q9VD83-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcf28b0D9c0CB442bfDC679409E7FF1221188cA9A
First NFT owner address (bech32): 
genesis1eu5tpkwqedzzhlwx09qfull3yggc3j5660yrk9
Current NFT ID #47347 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
47347
Accession (UniProt):
Q9VD83
Name::
Bursicon
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9VD83 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9VD83|BURS_DROME Bursicon OS=Drosophila melanogaster OX=7227 GN=Burs PE=1 SV=1 MLRHLLRHENNKVFVLILLYCVLVSILKLCTAQPDSSVAATDNDITHLGDDCQVTPVIHVLQYPGCVPKPIPSFACVGRCASYIQVSGSKIWQMERSCMCCQESGEREAAVSLFCPKVKPGERKFKKVLTKAPLECMCRPCTSIEESGIIPQEIAGYSDEGPLNNHFRRIALQ