Q6IQP3 AF NFT

Calumenin-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibxp3we6qh5wn3lqu5234pnmtj5suiqsxhha753c7ykr3jfm3tk54/metadata.json
IPFS of structure file: 
bafybeiep6confnmjkpy6kjoj3iv7usbjh5ukvpzgjsn3qf4r4gxftnett4/AF-Q6IQP3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x66fcE48dCDE99F905F9F830Ddeb84bE60d9C1089
First NFT owner address (bech32): 
genesis1vm7wfrwdax0eqhulsvxaawztucxecyyfu6uguh
Current NFT ID #49975 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
49975
Accession (UniProt):
Q6IQP3
Name::
Calumenin-A
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 Q6IQP3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6IQP3|CALUA_DANRE Calumenin-A OS=Danio rerio OX=7955 GN=calua PE=2 SV=1 MEIRPLLMCFALCVVYATSKPTEKKDRVHHDAPLSSKEHDDGTNFEYDHDAFLGEEEAKTFDDLTPEESKNRLGKIVEKIDADEDGFVTEAELKAWIKKAQKKYIYDNVERQWKDFDLNNDRMISWEEYKNVTYGTYLDDPEPDDGYNYKQMMARDERRFKMADGNGDHIADKEEFTAFLHPEEYEHMKDIVVLETMEDIDKNGDGFIDLEEYIGDMYNHEDEMDEPEWVATEREQFSEFRDKNKDGKMDREETMDWILPADYDHAEAEAKHLVYESDTNKDGKLTKEEILNKYDLFVGSQATDFGEALVRHDEF