P00195 AF NFT

Ferredoxin

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifobty5cc3bqvbghuifmxkhgfc62u7hnobhxdunhbfncmcqvvnuqa/metadata.json
IPFS of structure file: 
bafybeiawleg32qmxvtnzcdvebdpqjtp2mrijwpeyoqdmoxkbh5b4fs3dwu/AF-P00195-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4830A33355a48a6Fb5134CEeb1621F1bA8cDF8f5
First NFT owner address (bech32): 
genesis1fqc2xv645j9xldgnfnhtzcslrw5vm78427360y
Current NFT ID #129293 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
129293
Accession (UniProt):
P00195
Name::
Ferredoxin
Experimental Method:
Predicted structure
Sequence source:
CLOSTRIDIUM PASTEURIANUM

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 P00195 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P00195|FER_CLOPA Ferredoxin OS=Clostridium pasteurianum OX=1501 PE=1 SV=2 MAYKIADSCVSCGACASECPVNAISQGDSIFVIDADTCIDCGNCANVCPVGAPVQE