P9WQJ7 AF NFT

Mycobactin import ATP-binding/permease protein IrtB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgr4jaxi7tsbsaolj4vuxj5z3zpqgwnjj6rmvidugusxeyad2sj4/metadata.json
IPFS of structure file: 
bafybeieygfglwwrdcqqlptkzychuwl7jf5skzwskxq3evbmawzi36vjw2m/AF-P9WQJ7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x02399DAD8BAfD11Be4a2f8CC40EC4A6C8116369F
First NFT owner address (bech32): 
genesis1qguemtvt4lg3he9zlrxypmz2djq3vd5l8q6lwd
Current NFT ID #192156 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
192156
Accession (UniProt):
P9WQJ7
Name::
Mycobactin import ATP-binding/permease protein IrtB
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WQJ7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WQJ7|IRTB_MYCTU Mycobactin import ATP-binding/permease protein IrtB OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=irtB PE=1 SV=1 MIRTWIALVPNDHRARLIGFALLAFCSVVARAVGTVLLVPLMAALFGEAPQRAWLWLGWLSAATVAGWVLDAVTARIGIELGFAVLNHTQHDVADRLPVVRLDWFTAENTATARQAIAATGPELVGLVVNLVTPLTSAILLPAVIALALLPISWQLGVAALAGVPLLLGALWASAAFARRADTAADKANTALTERIIEFARTQQALRAARRVEPARSLVGNALASQHTATMRLLGMQIPGQLLFSIASQLALIVLAGTTAALTITGTLTVPEAIALIVVMVRYLEPFTAVSELAPALESTRATLGRIGSVLTAPVMVAGSGTWRDGAVVPRIEFDDVAFGYDGGSGPVLDGVSFCLQPGTTTAIVGPSGCGKSTILALIAGLHQPTRGRVLIDGTDVATLDARAQQAVCSVVFQHPYLFHGTIRDNVFAADPGASDDQFAQAVRLARVDELIARLPDGANTIVGEAGSALSGGERQRVSIARALLKAAPVLLVDEATSALDAENEAAVVDALAADPRSRTRVIVAHRLASIRHADRVLFVDDGRVVEDGSISELLTAGGRFSQFWRQQHEAAEWQILAE