B7VJJ4 AF NFT

Iron-sulfur cluster insertion protein ErpA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibypeb442bqywscb65vtn4qnt666oreca27zd5hvtrqubsvh3qeve/metadata.json
IPFS of structure file: 
bafybeidnlrha4qfuhyb623umshajuomi47xfquyjeifp7lx6egso2rfsce/AF-B7VJJ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD98b781Af594e457Ce9D77D41fAbB92144b0Fc1d
First NFT owner address (bech32): 
genesis1mx9hsxh4jnj90n5awl2pl2aey9ztplqalrslt5
Current NFT ID #120259 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
120259
Accession (UniProt):
B7VJJ4
Name::
Iron-sulfur cluster insertion protein ErpA
Experimental Method:
Predicted structure
Sequence source:
Vibrio atlanticus (strain LGP32)

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 B7VJJ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7VJJ4|ERPA_VIBA3 Iron-sulfur cluster insertion protein ErpA OS=Vibrio atlanticus (strain LGP32) OX=575788 GN=erpA PE=3 SV=1 MLFLTQVREVVVSEVNIPLSFSDAAATRVQTLIAEEENPDLKLRVYITGGGCSGFQYGFTFDEKVNDGDTTIVNSGVTLVVDPMSLQYLMGGMVDYTEGLEGARFFVNNPNATTTCGCGASFSV