P44601 AF NFT

Heme/hemopexin transporter protein HuxB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifqyhulxhrepeehrm2kas4n6wuec6nabstjzy2xfqqfzbgq4btnc4/metadata.json
IPFS of structure file: 
bafybeibb4f7fckigz625wvv3ekf54xim63d4oquhjcngsj75vd4raxv57y/AF-P44601-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #182194 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
182194
Accession (UniProt):
P44601
Name::
Heme/hemopexin transporter protein HuxB
Experimental Method:
Predicted structure
Sequence source:
HAEMOPHILUS INFLUENZAE (STRAIN ATCC 51907 / DSM 11121 / KW20 / RD)

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 P44601 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P44601|HXUB1_HAEIN Heme/hemopexin transporter protein HuxB OS=Haemophilus influenzae (strain ATCC 51907 / DSM 11121 / KW20 / Rd) OX=71421 GN=hxuB PE=3 SV=1 MKMRPRYSVIASAVSLGFVLSKSVMALDRPDTGSLNRELEQRQIQSEAKPSGELFNQTANSPYTAQYKQGLKFPLKQVQILDRNNQEVVTDELAHILKNYVGKEVSLSDLSNLANEISEFYRHNNYLVAKAILPPQEIEQGTVKILLLKGNVGEIRLQNHSALSNKFVSRLSNTTVNASEFILKDELEKFALTINDVPGVNAGLQLSAGKKVGEANLLIKINDAKRFSSYVSVDNQGNKYTGRYRLAAGTKVSNLNGWGDELKLDLMSSNQANLKNARIDYSSLIDGYSTRFGVTANYLDYKLGGNFKSLQSQGHSHTLGAYLLHPTIRTPNFRLSTKVSFNHQNLTDKQQAVYVKQKRKINSLTAGIDGSWNLIKDGTTYFSLSTLFGNLANQTSEKKQYTKEDFQPQSHFTVYNYRLSHEQILPKSFAFNIGINGQFADKTLESSQKMLLGGLSGVRGHQAGAASVDEGHLIQTEFKHYLPVFSQSVLVSSLFYDYGLGKYYKNSQFLEKGVKNSVKLQSVGAGLSLSDAGSYAINVSVAKPLDNNINNADKHQFWLSMIKTF