Q8W4M5 AF NFT

Pyrophosphate--fructose 6-phosphate 1-phosphotransferase subunit beta 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigmfwdsdmmc72k52mxe7rzneqjf7gg5dojt4wivt4c2hdn3t2ytwm/metadata.json
IPFS of structure file: 
bafybeialjgpaebsvnhi7emqg5cg7ec4gwvaf6nj33i25u3nf5hprn5c73m/AF-Q8W4M5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0818bCB44Ae14FBCEA0e2A36Bbf96de527A776aB
First NFT owner address (bech32): 
genesis1pqvtedz2u98me6sw9gmth7tdu5n6wa4t4vq8mm
Current NFT ID #295872 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
295872
Accession (UniProt):
Q8W4M5
Name::
Pyrophosphate--fructose 6-phosphate 1-phosphotransferase subunit beta 1
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q8W4M5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8W4M5|PFPB1_ARATH Pyrophosphate--fructose 6-phosphate 1-phosphotransferase subunit beta 1 OS=Arabidopsis thaliana OX=3702 GN=PFP-BETA1 PE=1 SV=1 MAPALAVTRDLTAVGSPENAPAKGRASVYSEVQSSRINNTLPLPSVLKGAFKIVEGPASSAAGNPDEIAKLFPGLYGQPSVAVVPDQDAPSSAPKLKIGVVLSGGQAPGGHNVISGLFDYLQERAKGSTFYGFKGGPAGIMKCKYVELNAEYIQPYRNQGGFDMICSGRDKIETPDQFKQAEETAKKLDLDGLVVIGGDDSNTNACLLAENFRSKNLKTRVIGCPKTIDGDLKCKEVPTSFGFDTACKIYSEMIGNVMIDARSTGKYYHFVRLMGRAASHITLECALQTHPNITIIGEEVSAQKQTLKNVTDYMVDVICKRAELGYNYGVILIPEGLIDFIPEVQELIAELNEILANEVVDENGLWKKKLTEQSLKLFDLLPEAIQEQLMLERDPHGNVQVAKIETEKMLIQMVETELEKRKQAGAYKGQFMGQSHFFGYEGRCGLPTNFDATYCYALGYGAGVLLNSGKTGLISSVGNLAAPVEEWTVGGTALTALMDVERRHGKFKPVIKKAMVELEGAPFKKFASLREEWALKNRYISPGPIQFTGPGSDSLSHTLLLELGAQ