Q9TLW0 AF NFT

Ferredoxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiegg3pvmtrar3nkmvt76cmzwgt7yrbtfvynpleffvnptbhyclnxty/metadata.json
IPFS of structure file: 
bafybeibamcb4f6fsitutqwj3robfdc6pocpj7p5g3srltstzbuwe65lqwq/AF-Q9TLW0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5C2d59949384A437838d040D722C4476f3Dc82E4
First NFT owner address (bech32): 
genesis1tsk4n9ynsjjr0qudqsxhytzywmeaeqhyqd79ug
Current NFT ID #129128 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
129128
Accession (UniProt):
Q9TLW0
Name::
Ferredoxin
Experimental Method:
Predicted structure
Sequence source:
CYANIDIUM CALDARIUM

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 Q9TLW0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9TLW0|FER1_CYACA Ferredoxin OS=Cyanidium caldarium OX=2771 GN=petF PE=3 SV=3 MTSYKVKLTNEKEGIDVEINCPNDQYILDAAEEQGIDLPYSCRAGACSTCAGKLISGTVDQSDQSFLDDEQIKEGFVLTCVAYPTSNCTILTHQEEALY