A9QZG0 AF NFT | MOLNFT bioinformatics, blockchain

Glucokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeid56r4ddo2dl3lkngu5cjvjvmvzc6kpyprc6w77iys3yastajw4ra/metadata.json

IPFS of structure file:

bafybeieg25gzue6jx6mrq6f7iealtpt3mvuvwbw4y2ezlf2sfjjp53d2oi/AF-A9QZG0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x01e98F6aA2b8835b76ABa5D63df70C33997ED954

First NFT owner address (bech32):

genesis1q85c764zhzp4ka4t5htrmacvxwvhak257tsq8u

Current NFT ID #149290 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
149290
Accession (UniProt):
A9QZG0
Name::
Glucokinase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Angola)

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 A9QZG0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A9QZG0|GLK_YERPG Glucokinase OS=Yersinia pestis bv. Antiqua (strain Angola) OX=349746 GN=glk PE=3 SV=1 MTTYALVGDVGGTNARLALCAVATGEILQAKTYSGLEYESLEDVIKQYLSEHQAKVTDACIAIACPITGDWVAMTNHTWAFSIAAMQQNLGLDHLEVINDFTAVSMAIPVLPAQDVLQFGGTQPQPGKPVAVYGAGTGLGVAHLVNVDRRWISLAGEGGHVDFAPNSEEEDQILAVLRQELGHVSAERVLSGPGLVNLYRAIVISDARLPEKLAPKDITARALADSCTDCRRALSLFCVIMGRFGGNLALNLSTFGGVYIAGGIVPRFMEFFKASGFRAAFEDKGRFKDFLQDIPVYMITHPQPGLLGAGAYLRQKLGYELSS