P45732 AF NFT

Phenylalanine ammonia-lyase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibt2mjdv6ieyf5ksqy6ijflqpqmvkczmz56ewcqzf2s6bqat35ahq/metadata.json
IPFS of structure file: 
bafybeidtrbflfc3h7wgimw47jelomz43bqeqmi5og32qb24bp7dqsz4muq/AF-P45732-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C
First NFT owner address (bech32): 
genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u
Current NFT ID #286309 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
286309
Accession (UniProt):
P45732
Name::
Phenylalanine ammonia-lyase
Experimental Method:
Predicted structure
Sequence source:
Stylosanthes humilis

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 P45732 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P45732|PALY_STYHU Phenylalanine ammonia-lyase OS=Stylosanthes humilis OX=35628 GN=PAL17.1 PE=2 SV=1 MDTHANADATFCLTANNGQQPRHDPLNWAAAAEALKGSHLDEVKRMVSEYRKPLVNLGGQTLTISQVAAIAANDQGVSVQLSEASRAGVKASSDWVMDSMNNGTDSYGVTTGFGATSHRRTKQGGALQKELIRFLNAGIFGNGTETNCTLPHTATRAAMLVRINTLLQGYSGIRFEILEAITKLLNNNITPCLPLRGTITASGDLVPLSYIAGLLTGRPNSKAVGPNGETLNAKEAFQAAGIGSDFFELQPKEGLALVNGTPVGSGLASVVLFEANILAVLSEVLSAIFAEVMQGKPEFTDHLTHKLKHHPGQIEAAAIMEHILDGSSYVKAAKKLHEIDPLQKPKQDRYALRTSPQWLGPLVEVIRFSTKSIEREINSVNDNPLIDVSRNKALHGGNFQGTPIGVSMDNTRLAVASIGKLMFAQFSELVNDFYNNGLPSNLSASRNPSLDYGFKGTEIAMASYCSELQYLANPVTSHVQSAEQHNQDVNSLGLISARKTNEAVEILKLMSPTYLIALCQAIDLRHLEENLKNTVKNTVSQVAKRTLTTGVNGELHPSRFCEKDLLKIVDREYCFAYIDDPCSATYPLMQKLRQVLVEHALANAENEKNVNTSIFQKITTFEEELKTLLPKEVEGARIAYENGQSAIPNKIKECRSYPLYKFVREELGTEMLTGEKVRSPGEECDKLFTAMCQGKIIDPLLECIGEWNGAPLPLC