Q6NYL3 AF NFT

Peroxisomal bifunctional enzyme

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabqp3ym3r63sgjnzoz4u5veynvbd2nets63r7od23dvgafu3eudy/metadata.json
IPFS of structure file: 
bafybeigei5d6zuxw5ufra4zfjywupvu3yhwjqc6fkm3yk2xzakqhvklgw4/AF-Q6NYL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe88775a4bc2FA59219bb338d0EE3AC68a8b5636B
First NFT owner address (bech32): 
genesis1azrhtf9u97jeyxdmxwxsacavdz5t2cmtse64w0
Current NFT ID #109843 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
109843
Accession (UniProt):
Q6NYL3
Name::
Peroxisomal bifunctional enzyme
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q6NYL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6NYL3|ECHP_DANRE Peroxisomal bifunctional enzyme OS=Danio rerio OX=7955 GN=ehhadh PE=2 SV=1 MARYELVKRSVALITLTNPPVNALSSAVRHAISKTMERALSDPKVTAVVICGENGRFCGGADIREFAGPLRGPPLVPLLDAIEAGEKPVVAAIEGVALGGGFELALVCHYRIAHYKARLGLPEVTLGILPAAGGTQRLPRLIGIPAALELITTGRHVSAQEALKLGMVDQVTEQNTCEVALEFALKAVGKPLSSRRLSMLTTPCPPGLDGIFEAATMQVQKKARGVMAPLACVQAVRAATLPYSEGIKREGELMATLFSSGQAQALQYSFFAQRTAEKWTLPSGAQWNNSKPREIQSAAVIGLGTMGRGIVVSLARVGISVIAVESEKKLLETGRQMVIGMLERDAKRRGVSASLNLLKFSLSLQDLKDVDLVIEAVFEDMALKKQIFRELSRVCRPATLLCSNTSGLDVDALADVTDRPQLVAGMHFFSPAHVMKLLEVVCGPRSSKEAIATAMSLGKRMGKVSVAVGNCPGFVGNRMLMPYLEQATFLLEEGATPQQIDKALEDFGFAMGVFRMSDLAGLDVGWRVRKESGLTGPDVDPKDPPRRRQGRKYCPIPDMVCQQGRFGQKTGRGWYMYDKPGDTNAKPDPLIQNLLETYRSRYGIQPRKITDQEIIERCLFALANEGFRILKDKIAGQPEDIDVIYLFGYGFPRHRGGPMFYASMVGLERVLERLEYYHHALPDVPHLEPSPLLKKLVARGSPPIQKWREHIKSMHSHL