P00222 AF NFT

Ferredoxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihtfovfxluhfs7ftqalxztvdtbmvcvockdxtcgfpjcp4zivi6pdka/metadata.json
IPFS of structure file: 
bafybeigu6nksncycav46qxn5f7fbzqjpoqho7qcqpaluhsmjz4swnemefa/AF-P00222-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8f8EdB0f2CB8B755CA644841812fd6844544e924
First NFT owner address (bech32): 
genesis1378dkrevhzm4tjnyfpqczt7ks3z5f6fyp6cnkc
Current NFT ID #129296 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
129296
Accession (UniProt):
P00222
Name::
Ferredoxin
Experimental Method:
Predicted structure
Sequence source:
COLOCASIA ESCULENTA

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 P00222 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P00222|FER_COLES Ferredoxin OS=Colocasia esculenta OX=4460 PE=1 SV=1 ATYKVKLVTPSGQQEFQCPDDVYILDQAEEVGIDLPYSCRAGSCSSCAGKVKVGDVDQSDGSFLDDEQIGEGWVLTCVAYPVSDGTIETHKEEELTA