B5X4Z4 AF NFT

Probable amino-acid acetyltransferase NAGS2, chloroplastic

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihzbyogvdoo3tqwkq462wbtyyzckje5ne7pabun4twxjxijk7ejqu/metadata.json
IPFS of structure file: 
bafybeidygayf7kwvwimngqhoiomltfe3bi5nsairey5r7dgnxexe42mebu/AF-B5X4Z4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA91f62865d77796ecce8F77c3819DD7f3122E46D
First NFT owner address (bech32): 
genesis14y0k9pjawaukan8g7a7rsxwa0ucj9erdcyr86u
Current NFT ID #258437 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
258437
Accession (UniProt):
B5X4Z4
Name::
Probable amino-acid acetyltransferase NAGS2, chloroplastic
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 B5X4Z4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5X4Z4|NAGS2_ARATH Probable amino-acid acetyltransferase NAGS2, chloroplastic OS=Arabidopsis thaliana OX=3702 GN=NAGS2 PE=1 SV=1 MERGALVGSSSTSSYYVPYHFRQSKSNFSSFKPKNKLNPTQFRFNCSWFKPVSSITAAKCNMFDYAVTAAGDVEAEHPVDDKQFVRWFREAWPYLWAHRGCTFVVIISGEIIAGSSCDAILKDIAFLHHLGIRFVLVPGTQEQIDQLLAERGREATYVGRYRVTDAASLQAAKEAAGAISVMLEAKLSPGPSICNIRRHGDRSRLHDIGVRVDTGNFFAAKRRGVVDGVDFGATGEVKKIDVDRICERLDGGSVVLLRNLGHSSSGEVLNCNTYEVATACALAIGADKLICIMDGPILDESGHLIHFLTLQEADMLVRKRAQQSDIAANYVKAVGDGSMAYPEPPNNTNGNITSAQNGRAVSFWGNGNHTPIFQNGVGFDNGNGLWPCEQGFAIGGEERLSRLNGYLSELAAAAFVCRGGVKRVHLLDGTISGVLLLELFKRDGMGTMVASDVYEGTRDARVEDLAGIRHIIKPLEESGILVRRTDEELLRALDSFVVVEREGQIIACAALFPFFKDKCGEVAAIAVASDCRGQGQGDKLLDYIEKKASSLGLEKLFLLTTRTADWFVRRGFQECSIEIIPESRRQRINLSRNSKYYMKKLIPDRSGISVMRI