P00223 AF NFT

Ferredoxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidkwu5sbzyiimmnmhktsisojfu5kzhkj2snoe5vtl55rtdtcyyu4u/metadata.json
IPFS of structure file: 
bafybeieokevqazc7iugxmbguriesqdsa2ir4fbzunb5j7clw7bqxehcnqq/AF-P00223-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x767E841c23C1fCf898B47f3029614c98232Bf0FC
First NFT owner address (bech32): 
genesis1welgg8prc8703x950uczjc2vnq3jhu8ug45tqq
Current NFT ID #129273 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
129273
Accession (UniProt):
P00223
Name::
Ferredoxin
Experimental Method:
Predicted structure
Sequence source:
Arctium lappa

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 P00223 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P00223|FER_ARCLA Ferredoxin OS=Arctium lappa OX=4217 PE=1 SV=1 ATYKVTLITPEGKQEFEVPDDVYILDHAAEEVGDLPYSCRAGSCSSCAGKVTAGSVDQSDGSYLDDDQMEAGWVLTCVAYPTSDVTIETHKEEELTA