Q9SMK9 AF NFT

Phenylalanine ammonia-lyase 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicdid7pej6kofexf72rkvlh36dtsbpyduuefmg3y3im4uib6uctiu/metadata.json
IPFS of structure file: 
bafybeifmnedpppajge2esisbes54eponsumzq7uboqhxoaumftmtcesjxi/AF-Q9SMK9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFe0F6F52e06108B713093Cf01406F947Bc410fED
First NFT owner address (bech32): 
genesis1lc8k75hqvyytwycf8ncpgpheg77yzrldspjc90
Current NFT ID #286166 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
286166
Accession (UniProt):
Q9SMK9
Name::
Phenylalanine ammonia-lyase 2
Experimental Method:
Predicted structure
Sequence source:
CICER ARIETINUM

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 Q9SMK9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9SMK9|PAL2_CICAR Phenylalanine ammonia-lyase 2 OS=Cicer arietinum OX=3827 GN=PAL2 PE=2 SV=1 MMELPNGNCNGSSLNVCNGNGNLSNNDSLNWGMAADSMRGSHLDEVKRMVEEYRKAVVPLGGKGLTISQVAAVATQNTGVAVELAEETRYAVKASSDWVVDSMNKGTDSYGVTTGFGATSHRRTKQGGALQNELIRFLNAGIFGNGTESTQTLPHTATRAAMLVRINTLLQGYSGIRFEIMEAIAKFLNHNITPCLPLRGTITASGDLVPLSYVAGLLIGRPNSKSIGPNGQILNAKEAFQLAGIETGFFELQPKEGLALVNGTAVGSGLASLALFETNLLVVLSEILSAIFAEVMQGKPEFTDHLTHKLKHHPGQIEAAAIMEHILDGSYYVKAAQKVHDIDPLQKPKQDRYALRTSPQWLGPQIEVIRNATKMIEREINSVNDNPLIDVSRNKALHGGNFQGTPIGVSMDNTRLAIASIGKLMFAQFSELVNDFYNNGLPSNLTGSRNPSLDYGFKGAEIAMASYCSELQYLANPVTNHVQSAEQHNQDVNSLGLISSRKTAEAVEILKLMSSTFLVALCQAIDLRHIEENLKSVVKNTVSQVAKRVLTVGVNGELHPSRFCEKDLLNVVEREYVFAYIDDPCSATYPLMQKLRHVLVDHALENGDREGNSSTSIFQKIGAFEQELKTLLPKEVESVRVDVENGNPAVPNRIIECRSYPLYKFVRENLGTSLLTGEKIRSPGEECDKVFAALCDGRFIDPMLDCLKEWNGAPLPIC