P10248 AF NFT

Phenylalanine ammonia-lyase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicda3yszztg3yajfplbdmbtu5wfyutrqeqlhxidfqblguyrjxp55q/metadata.json
IPFS of structure file: 
bafybeihnbli6dhi3wlfihibgt74xpmrd6jsey5cutpdzocjo6bsu52oye4/AF-P10248-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2F483b0b090A1c7BAFD8E2378deeb8E97427069d
First NFT owner address (bech32): 
genesis19ayrkzcfpgw8ht7cugmcmm4ca96zwp5a5z0xjc
Current NFT ID #286307 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
286307
Accession (UniProt):
P10248
Name::
Phenylalanine ammonia-lyase
Experimental Method:
Predicted structure
Sequence source:
RHODOTORULA MUCILAGINOSA

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 P10248 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P10248|PALY_RHOMI Phenylalanine ammonia-lyase OS=Rhodotorula mucilaginosa OX=5537 GN=PAL PE=3 SV=2 MAPSVDSIATSVANSLSNGLHAAAAANGGDVHKKTAGAGSLLPTTETTQLDIVERILADAGATDQIKLDGYTLTLGDVVGAARRGRSVKVADSPHIREKIDASVEFLRTQLDNSVYGVTTGFGGSADTRTEDAISLQKALLEHQLCGVLPTSMDGFALGRGLENSLPLEVVRGAMTIRVNSLTRGHSAVRIVVLEALTNFLNHGITPIVPLRGTISASGDLSPLSYIAASITGHPDSKVHVDGKIMSAQEAIALKGLQPVVLGPKEGLGLVNGTAVSASMATLALTDAHVLSLLAQALTALTVEAMVGHAGSFHPFLHDVTRPHPTQIEVARNIRTLLEGSKYAVHHETEVKVKDDEGILRQDRYPLRCSPQWLGPLVSDMIHAHAVLSLEAGQSTTDNPLIDLENKMTHHGGAFMASSVGNTMEKTRLAVALMGKVSFTQLTEMLNAGMNRALPSCLAAEDPSLSYHCKGLDIAAAAYTSELGHLANPVSTHVQPAEMGNQAINSLALISARRTAEANDVLSLLLATHLYCVLQAVDLRAMEFEHTKAFEPMVTELLKQHFGALATAEVEDKVRKSIYKRLQQNNSYDLEQRWHDTFSVATGAVVEALAGQEVSLASLNAWKVACAEKAIALTRSVRDSFWAAPSSSSPALKYLSPRTRVLYSFVREEVGVKARRGDVYLGKQEVTIGTNVSRIYEAIKSGCIAPVLVKMMA