Q66GE5 AF NFT

Guanylate kinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiduuli3vbrekk2ke4et5mqfehra7lmfqxflzhcfz5dg4wptaxqqnq/metadata.json
IPFS of structure file: 
bafybeiftjtouvpmpzemf274nr3eegeathgzvqakwmmyxrddkppfhgtweuy/AF-Q66GE5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x460E4e7A7290a39D7Ba2ae71B7B7CEa0ecE29BeC
First NFT owner address (bech32): 
genesis1gc8yu7njjz3e67az4ecm0d7w5rkw9xlv0slgrn
Current NFT ID #202599 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
202599
Accession (UniProt):
Q66GE5
Name::
Guanylate kinase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PSEUDOTUBERCULOSIS SEROTYPE I (STRAIN IP32953)

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 Q66GE5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q66GE5|KGUA_YERPS Guanylate kinase OS=Yersinia pseudotuberculosis serotype I (strain IP32953) OX=273123 GN=gmk PE=3 SV=1 MVQGTLYIVSAPSGAGKSSLIQALLKTQPLYDTQVSISHTTRAKRPGENHGEHYFFVSEKEFCQMIDDDAFLEHAKVFENYYGTSRLAIEQVLATGVDVFLDIDWQGAQQIRAKMPTARSIFILPPSKTELDRRLRGRGQDSEEVIAKRMEQAVAEMAHYAEYDYLIVNDDFNLALSDLKTIIRAERLRLGRQKQRHDALISKLLAD