Q65FL6 AF NFT

Glucose-6-phosphate isomerase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsoovympaxt3zcgthqbvkv4xdh3i3d2ghntf2hrk6rpttklrncra/metadata.json
IPFS of structure file: 
bafybeif7fpshtyxts5dzvywjaz6ge35amsfe6neosvhf3qtl74kol7hs5i/AF-Q65FL6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x84e61bE2B32b5580a50fE9Dd16c41b59E17F5FB5
First NFT owner address (bech32): 
genesis1snnphc4n9d2cpfg0a8w3d3qmt8sh7ha4mp9dgt
Current NFT ID #139530 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
139530
Accession (UniProt):
Q65FL6
Name::
Glucose-6-phosphate isomerase
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65FL6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65FL6|G6PI_BACLD Glucose-6-phosphate isomerase OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=pgi PE=3 SV=1 MTHVRFDYSRALPFFKEQELTYLRDFVKVAHHTIHEKTGAGSDFLGWVDLPTDYDKEEFARIKKCAEKIQNDSDVLLVVGIGGSYLGARAAIEMLNHSFYNVLPKEKRKTPQVIFIGNNISSSYMRDVMDLLEDADFSINVISKSGTTTEPAIAFRIFRKLLEEKYGKEEAKRRIYATTDKERGALKTLANEEGFESFIIPDDVGGRFSVLTAVGLLPIAVSGADIDEMMKGARDASKDFSTSELEDNPAYQYAVVRNVLYNKGKTIEMLINYEPGLQYFAEWWKQLFGESEGKDEKGIYPSSANFSTDLHSLGQYVQEGRRDMFETVLNVEKPRHELTIEEADNDLDGLNYLAGKTVDFVNKKAFQGTMLAHTDGNVPNLIVNVPEMNAYTFGYLVYFFEKACAMSGYLLGVNPFDQPGVEAYKVNMFALLGKPGFEEKKAELEKRLNQ