Q6FG12 AF NFT

Iron-sulfur cluster insertion protein ErpA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibnd4dlz53kdus52n6ve4bhwt3roovh5txvvbtwam3dgqyzzdu4dy/metadata.json
IPFS of structure file: 
bafybeihiwtbj5wnhwfbbgpexcmoov6xwzvi5m4alacog6kdahndsnc62ry/AF-Q6FG12-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbb2F1C7CB3A1eeFAc24fCa72cc627162D5413FD7
First NFT owner address (bech32): 
genesis1hvh3cl9n58h04sj0efevccn3vt25z07h70j2hm
Current NFT ID #120046 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
120046
Accession (UniProt):
Q6FG12
Name::
Iron-sulfur cluster insertion protein ErpA
Experimental Method:
Predicted structure
Sequence source:
ACINETOBACTER BAYLYI (STRAIN ATCC 33305 / BD413 / ADP1)

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 Q6FG12 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6FG12|ERPA_ACIAD Iron-sulfur cluster insertion protein ErpA OS=Acinetobacter baylyi (strain ATCC 33305 / BD413 / ADP1) OX=62977 GN=erpA PE=3 SV=1 MNAQALVITDNAAKKVRQLRDSEGNQDLMLRVYVTGGGCSGFSYGFNFADSPNEDDAEFVNGDVKMLVDSLSYQYLVGSVVDYIEGLEGSRFIIQNPNATTTCGCGSSFSI