F4JGR5 AF NFT

Pyrophosphate--fructose 6-phosphate 1-phosphotransferase subunit beta 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic5qsy6hie5gj4ervwvyp2o75zw6hvr2yrm6ftrqxqq5a263lj6mu/metadata.json
IPFS of structure file: 
bafybeigdkq5eqnaumz53bj6knzjmowrhd4aczzwgtu75hyw6ccn5dhslwe/AF-F4JGR5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x10b76e1579Af0AE150397F3a292746dC079eA377
First NFT owner address (bech32): 
genesis1zzmku9te4u9wz5pe0uazjf6xmsreagmh0trpc5
Current NFT ID #295873 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
295873
Accession (UniProt):
F4JGR5
Name::
Pyrophosphate--fructose 6-phosphate 1-phosphotransferase subunit beta 2
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 F4JGR5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|F4JGR5|PFPB2_ARATH Pyrophosphate--fructose 6-phosphate 1-phosphotransferase subunit beta 2 OS=Arabidopsis thaliana OX=3702 GN=PFP-BETA2 PE=3 SV=1 MASQLDLIGGDYIAGISINPPTNSRVTSVYSEVQASRIDHTLPLPSVFKTPFKIIDGPPSSSAGHPEEIEKLFPNLFGQPSALLVPNQSNEVSSDQKLKIGVVLSGGQAPGGHNVICGIFDYLQEYARGSSLFGFRGGPAGIMKGKYIELTSEFVYPYRNQGGFDMICSGRDKIETPEQFKQAEETVTKMDLDGLVVIGGDDSNTNACLLAEHFRAKNMKTLVIGCPKTIDGDLKSKEVPTSFGFDTACKIYSEMIGNVMIDARSTGKYYHFVRLMGRAASHITLECALQTHPNITIIGEEVFEKKLTLKNVTDNIVDVIYKRAENGYNYGVILVPEGLIDFIPEVQQLISELNEVLAEGNVDEEGQWKKNLKKETLEIFEFLPQTIQEQLMLERDPHGNVQVAKIETEKMLIQMVETELEKKKTEGTYEREFMGKSHFFGYEGRCGLPTNFDATYCYALGYGAGSLLQSGKTGLISSVGNLAAPVEEWTVGGTALTSLMDVERRHGKFKPVIKKAMVELEGAPFKKFASQREEWALKNRYISPGPIQFKGPGSDARNHTLMLELGAQA