Q58999 AF NFT

Bifunctional ADP-specific glucokinase/phosphofructokinase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicqgh33xy4b6nxfpaegvseqbzidqt5lkqiv4xosuqo5r7iw6unwy4/metadata.json
IPFS of structure file: 
bafybeidavkfbxzqrgmrykwkmjgtjbnlflb7l5qbwzjymaq6iu3bwx7a6aq/AF-Q58999-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2fEB640eE303B54bAe6E6a66B4B38A2399C6E457
First NFT owner address (bech32): 
genesis19l4kgrhrqw65htnwdfntfvu2ywvudezhy3pmgd
Current NFT ID #196944 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
196944
Accession (UniProt):
Q58999
Name::
Bifunctional ADP-specific glucokinase/phosphofructokinase
Experimental Method:
Predicted structure
Sequence source:
METHANOCALDOCOCCUS JANNASCHII (STRAIN ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440)

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 Q58999 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q58999|K6PF_METJA Bifunctional ADP-specific glucokinase/phosphofructokinase OS=Methanocaldococcus jannaschii (strain ATCC 43067 / DSM 2661 / JAL-1 / JCM 10045 / NBRC 100440) OX=243232 GN=pfkC PE=1 SV=1 MCDIMEIKKFIETIKGTKLFTAYNTNVDAIKYLKDEDVQKLVDEFNHKDIIERMEEYPRIIEEPLDFVARLVHSIKTGKPAEVPIKDDKKLHEWFDRIKYDEERMGGQAGIVSNLMATLQIDKIIVYTPFLSKKQAEMFVDYDNLLYPLVENGNLVLKKVREAYRDDPIKINRIFEFKKGLKFKLNGEEITAKQSTRFIVASRPEALRIEIKDDVRKFLPKIGEAVDCAFLSGYQAIKEEYRDGKTAKYYFERAEEDIKLLKKNKNIKTHLEFASISNIEIRKMVVDYILSNVESVGMDETEIANVLHILGYDELSNNILKDSFIEDVIEGAKILLDKFKNLEVVQVHTIYYILFVCRADNPLSKEELEECLEFSTILASTKAKLGNIRAIDDLHEGLKIPHNKYGDLLKEIAEKFNDNNYKIALSPSRYVEKPKSTVGLGDTISSGAFVYYVSLLNKKRMS