O93967 AF NFT

Phenylalanine ammonia-lyase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif7k2kuaqoyylmkq3f5ltwaf5tftcxtk77hkkvk5xql7pfenk7g4e/metadata.json
IPFS of structure file: 
bafybeidcs5or53j4tzczf2qotyfqdevlscwzgpnpdmrc6osk2gsubps3xq/AF-O93967-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2F9A0D66e2Ea61E601DdF4497CB8965a2265d798
First NFT owner address (bech32): 
genesis197dq6ehzafs7vqwa73yhewyktg3xt4ucthrdrl
Current NFT ID #286295 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
286295
Accession (UniProt):
O93967
Name::
Phenylalanine ammonia-lyase
Experimental Method:
Predicted structure
Sequence source:
Amanita muscaria

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 O93967 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O93967|PALY_AMAMU Phenylalanine ammonia-lyase OS=Amanita muscaria OX=41956 GN=PAL PE=2 SV=1 MGLDNSKNTAKFFDLPKAVHGMNGTTPVNGFKATALSKASRTMTKTSALSQFLEAYRELEGYKNGRAIKVDGQTLSIAAVAAAARYNAAVELDESPLVKERVRKSQLAIANKVSTGASVYGLSTGFGGSADTRTDKPMLLGFALLQHQHVGILPTSTEPLDVLPLQDANNTSMPEAWIRGAILIRMNSLIRGHSGIRWELIEKMRELLAANVIPVVPLRGSISSSGDLSPLSYIAGTIIGNPSIKVYHGPSKSGIRQIGSSKDVLALHNIEPFPLESKEPLGILNGTAFSASVAALALNEAIHLVLLAQVCTAMGTEALIGTRASHAPFIHATARPHPGQVECAENIWNLLDGSKLAQLEEHEVRLEDDKYTLRQDRYPLRTSPQFLGPQIEDIISAFQTVTQECNYLPATDNPLIDGETGESHHGGNFQAMAVTNAMEKTRLALHHVGKLLFSQSTELVNPAMNRGLPPSVAATDPSLNYHAKGLDIATAAYVAEATPGPTHIQSAEMHNQAVNSLALISARATITSLEVLTSLIASYLYILCQALDLRALQREFLPGLDIIIREELRSSFGSFLSSEQMEKLQQNLTSAFEDHLDKTTTMDNTDRMTTMAATSSSVLLQFFTDSGASVPPSSCDLLSSVSSFQSSVATRSSVLMDDLRKEYIFGDRGPTPASQYIGKTRPVYQFIRTTIGVRKHGSENYNKFYNGLGVEDVTIGQNISRIYESIRDGKMQSIIVSLFD