A7N9V7 AF NFT

Chaperone protein HtpG

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeievsplexj4nldirnkg5cnif5yhyw4p23s2zkh7azq7seqydr3hy4m/metadata.json
IPFS of structure file: 
bafybeidhbipa7h4ovgeysvegaw2sl7wx6k5v5txpueoncyceyqqgn7t3hy/AF-A7N9V7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x24c1edb3DD9C691e235aB9D784325EA74d43a870
First NFT owner address (bech32): 
genesis1ynq7mv7an353ug66h8tcgvj75ax582rs639se7
Current NFT ID #180040 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
180040
Accession (UniProt):
A7N9V7
Name::
Chaperone protein HtpG
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. holarctica (strain FTNF002-00 / FTA)

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 A7N9V7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7N9V7|HTPG_FRATF Chaperone protein HtpG OS=Francisella tularensis subsp. holarctica (strain FTNF002-00 / FTA) OX=458234 GN=htpG PE=3 SV=1 MSEKKYTFETEVDKLLHLVIHSLYSNREIFLRELVSNSSDAIEKLRYESISNAALNEDDTDYAIRIDFDKDAKTITVSDNGIGMTEEEVIENLGTIAKSGTKKFLESLTGDKSKDNELIGQFGVGFYSSFIVADKVTVRTRKAGQDKSQATKWVSDAQNGFTVEIITKEKRGTEVILHIKKEHLDLLEYHVLKGLVNKYSDCINTPIQMKKVEYDKDGKQTVKDEYETVNNTKAIWLRSKGEVTNEEYQEFYKYISHDFADALMWIHNKVEGNLEYNSLLYIPQNKPFDFWNRDKDYGLSLYVRRVFIMENKELLPPYLRFVKGVIDSADLPLNVSREILQHNKVIDKIKKAITTKILSELKKLASKDKEKYQKFWDSFGQVLKEGVSDDYSNKEKIAGLLRFATTQSGDSKQTVSLADYISRMKESQDTIYYITSDSYKAAANNPQLEAFKKKGIEVILMTDRIDEWMMSTLTEFDDKHMKSIIKGDIDLDKFETPENKEKFEKEAKDFEKVLKEIKEVLKDKVEDVRLSKRLTDSPSCVVVNDYGMSLHMQKMMEEAGQSFMPGMGMKPILELNAEHNLVQKLKNEADTEIFADLSELLLLQAMFVEGAKIEDPMAFVKLVNKYIR