Q9HV67 AF NFT

Glucose-6-phosphate isomerase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiejouhwl3dxqtvidh74jchskr6zcmu3vlvqzreo4kb5k6vsakembi/metadata.json
IPFS of structure file: 
bafybeihlr6scp3tqcfbdgp4roy4vfqs3cd7uixijimlhu2okflvndodmci/AF-Q9HV67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #139870 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
139870
Accession (UniProt):
Q9HV67
Name::
Glucose-6-phosphate isomerase
Experimental Method:
Predicted structure
Sequence source:
PSEUDOMONAS AERUGINOSA (STRAIN ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1)

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 Q9HV67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HV67|G6PI_PSEAE Glucose-6-phosphate isomerase OS=Pseudomonas aeruginosa (strain ATCC 15692 / DSM 22644 / CIP 104116 / JCM 14847 / LMG 12228 / 1C / PRS 101 / PAO1) OX=208964 GN=pgi PE=3 SV=1 MKHHLTPLDATQLDSWRALAAHRQELQDFRMRQAFIDDPERFKRFSFSACGLFLDFSKNLIRQDTIDLLVKLAEEARLSDAIRAMFDGEAINASERRPVLHTALRRPIGDKVLVDGVDVMPEVHRVLHQMTELVGYVHNGLWRGYTEKPITDVVNIGIGGSFLGPQLVSEALLPFAQKGVRCHYLANIDGSEFHELASRLNAETTLFIVSSKSFGTLETLKNAQAARAWYLAQGGTEEELYRHFIAVSSNKEAAIAFGIREENIFPMWDWVGGRYSLWSAIGLPIAMSIGISNFKELLSGAYNMDQHFQTAPFERNIPVLLGLLGVWYGDFWGANSHAILPYDYYLRNITDHLQQLDMESNGKSVRQDGTPVTSGTGPVIWGGVGCNGQHAYHQLLHQGTQLIPADFIVPVSSYNPVADHHQWLYANCLSQSQALMLGKSREEAEAELRAKGLPEAEVQRLAPHKVIPGNRPSNTLVVERISARRLGALIAMYEHKVYVQSILWGINAFDQWGVELGKELGKGVYSRLVGSEETPAEDASTQGLIDFFRGRHRG