P58619 AF NFT

Glucokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifjvgae5crflbmmlu62m4iak6yzdxdxditybyqxjqclpcwzxj2kse/metadata.json
IPFS of structure file: 
bafybeiey37272ngrdnfk6bor7vx74gkfwtm7dpbgixfynk73cpkviccgp4/AF-P58619-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xdA3fF3FD3B0b49D6e16b523B460BAF6aDd142C24
First NFT owner address (bech32): 
genesis1mgll8lfmpdyadctt2ga5vza0dtw3gtpyjjqtwh
Current NFT ID #149289 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
149289
Accession (UniProt):
P58619
Name::
Glucokinase
Experimental Method:
Predicted structure
Sequence source:
YERSINIA PESTIS

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 P58619 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P58619|GLK_YERPE Glucokinase OS=Yersinia pestis OX=632 GN=glk PE=3 SV=1 MTTYALVGDVGGTNARLALCAVATGEILQAKTYSGLEYESLEDVIKQYLSEHQAKVTDACIAIACPITGDWVAMTNHTWAFSIAAMQQNLGLDHLEVINDFTAVSMAIPVLPAQDVLQFGGTQPQPGKPVAVYGAGTGLGVAHLVNVDRRWISLAGEGGHVDFAPNSEEEDQILAVLRQELGHVSAERVLSGPGLVNLYRAIVISDARLPEKLAPKDITARALADSCTDCRRALSLFCVIMGRFGGNLALNLSTFGGVYIAGGIVPRFMEFFKASGFRAAFEDKGRFKDFLQDIPVYMITHPQPGLLGAGAYLRQKLGYELSS