A2Q7E0 AF NFT

Probable alpha-L-arabinofuranosidase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdbq4zwptcqx3bgyf3j733us4osr2xyxu2fju56j27j7jfmb4p3y/metadata.json
IPFS of structure file: 
bafybeiazo7dtcdhfjchkmob4tvhcqnciaic56wm6bwkj5pquebhwvun5u4/AF-A2Q7E0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa870d516e0F9a40516E0De78529921327CFBc8ee
First NFT owner address (bech32): 
genesis14pcd29hqlxjq29hqmeu99xfpxf70hj8wwc3kzy
Current NFT ID #3646 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3646
Accession (UniProt):
A2Q7E0
Name::
Probable alpha-L-arabinofuranosidase A
Experimental Method:
Predicted structure
Sequence source:
ASPERGILLUS NIGER (STRAIN CBS 513.88 / FGSC A1513)

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 A2Q7E0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A2Q7E0|ABFA_ASPNC Probable alpha-L-arabinofuranosidase A OS=Aspergillus niger (strain CBS 513.88 / FGSC A1513) OX=425011 GN=abfA PE=3 SV=1 MVAFSALSGVSAVSLLLSLVQNAHGISLKVSTQGGNSSSPILYGFMFEDINHSGDGGIYGQMLQNPGLQGTAPNLTAWAAVGDATIAIDGDSPLTSAIPSTIKLNIADDATGAVGLTNEGYWGIPVDGSEFHSSFWIKGDYSGDITVRLVGNYTGTEYGSTTITHTSTADNFTQASVKFPTTKAPDGNVLYELTVDGSVAAGSSLNFGYLTLFGETYKSRENGLKPQLANVLDDMKGSFLRFPGGNNLEGNSAENRWKWNETIGDLWDRPGREGTWTYYNTDGLGLHEYFYWCEDLGLVPVLGVWDGFALESGGNTPLTGDALTPYIDDVLNELEYILGDTSTTYGAWRAANGQEEPWNLTMVEIGNEDMLGGGCESYAERFTAFYDAIHAAYPDLILIASTSEADCLPESMPEGSWVDYHDYSTPDGLVGQFNYFDNLNRSVPYFIGEYSRWEIDWPNMKGSVAEAVFMIGFERNSDVVKMAAYAPLLQLINSTQWTPDLIGYTQSPGDIFLSTSYYVQEMFSRNRGDTIKEVTSDSDFGPLYWVASSAGDSYYMKLANYGSETQDLTVSIPGTSTGKLTVLADSDPDAYNSDTQTLVTPSESTVQASNGTFTFSLPAWAVAVLAAN