Q1H365 AF NFT

Chaperone protein HscA homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigkbdztpryq2wlojxh3ih35o2josr4hms42mwegjywt5qi7jwhvxq/metadata.json
IPFS of structure file: 
bafybeigzbnyvkvo4kqpddbsqy6yis5ieo4ugdrxc6zwmdigwozzvrxflq4/AF-Q1H365-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3f12eCcd36f56b8aBDE1AD6601fD28878b1203Bc
First NFT owner address (bech32): 
genesis18ufwenfk744c400p44nqrlfgs793yqaurveauy
Current NFT ID #177543 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
177543
Accession (UniProt):
Q1H365
Name::
Chaperone protein HscA homolog
Experimental Method:
Predicted structure
Sequence source:
Methylobacillus flagellatus (strain KT / ATCC 51484 / DSM 6875)

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 Q1H365 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1H365|HSCA_METFK Chaperone protein HscA homolog OS=Methylobacillus flagellatus (strain KT / ATCC 51484 / DSM 6875) OX=265072 GN=hscA PE=3 SV=1 MALLQISEPGQSTAPHQHRLAVGIDLGTTNSLVATVRSGLSTVLLDEAGKALLPSVVHYAANGQVEVGYAAQRQQSHDPQNTIASAKRFLGRGLNDIGDTSHLPYQFVDVPGMVQIETRAGIKSPVEISAEILKSLKARAEQALGGELTGAVITVPAYFDDAQRQATKDAARIAGINVLRLLNEPTAAAIAYGLDNASEGIYVVYDLGGGTFDVSILRLTKGVFEVLSTNGDSALGGDDFDRRIFHWILEQTHLQAPNPADTRLLMTASKEAKEWLTEHTSANIAVTLSNGKTVDLSLSRTEFHSLTQPLLNRTLVPIRKALRDASLTVKEVKGIVLVGGATRMPQVQQAVADFFGQAPLTNLDPDQVVALGAAIQANILAGNRHDDELLLLDVIPLSLGLETMGGLVEKIIPRNSTLPIARAQDFTTFKDGQTAMSIHVLQGEREMVADCRSLGRFELRGIPPMAAGAARIRVTFQVDADGLLSVSAQEQTSGAHANIVVKPSYGLSEEQITNMLQASFTAAEADKHARALQEARVDAARLLEALEAALRQDGDKLLNDEERTEITRQMEHLRNIAQHEDSDAINKAVDALNHATETFAARRMDASVKQALAGQSLNTLDI