Q2U790 AF NFT

Probable alpha-L-arabinofuranosidase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidfzu6sjv4ltdkxxnim7tnv5irevyeq3c2c76mhpnnfxxnmjguio4/metadata.json
IPFS of structure file: 
bafybeiahbsqdjvqpa6ht35lqxhzaux6jcktneftjldnkp7mxjxyqrerqvu/AF-Q2U790-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x86CC08B8660Fa01B25046dEAd64f4F553fa9FA76
First NFT owner address (bech32): 
genesis1smxq3wrxp7spkfgydh4dvn6025l6n7nkl8sf2y
Current NFT ID #3648 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3648
Accession (UniProt):
Q2U790
Name::
Probable alpha-L-arabinofuranosidase A
Experimental Method:
Predicted structure
Sequence source:
ASPERGILLUS ORYZAE (STRAIN ATCC 42149 / RIB 40)

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 Q2U790 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2U790|ABFA_ASPOR Probable alpha-L-arabinofuranosidase A OS=Aspergillus oryzae (strain ATCC 42149 / RIB 40) OX=510516 GN=abfA PE=3 SV=2 MVALSTLSGLSALPFLFSLVQNVYGVSLEVSTEKGNSSSPILYGFMFEDINHSGDGGIYGQLLRNNGLQGSKPGLTAWAAVGDATIAVDAQNPLTEAIPHSLKLDVKQGASGAVGFTNEGYWGVPVDGSEFLNTFWIKGNFSGDITVRLVGNNTGTEYGSTKISQSSNSSNFTKVLAKIPTKKAPDGAVLYELTVDGASVGGSSLNFGLFELFPQTYKSRSNGLKPQVAQPLADMKGSFLRFPGGNNLEGASEARRWKWNETIGPVENRPGRQGDWSYYNTDGLGLDEYFYWCEDMGLTPVLGVWAGFALESGGNTPITGDALKPYIDDVLNELEYVLGDASTKYGSLRASYGRKEPWKLTMVEIGNEDMLGGGCESYVERFTAFSDAIHAAYPDLTIIASTDQSSCLPSKLPEGAWVDYHNYNTADNLVKQFSQFDNKDRSVPYFIGEYSCQQDNAWPFMQGSVAEAVYMIGIERNSDVVKMAAYAPLLQLVNSTQWTPNLIAFTQNPSTVIETTSYYVQQMFSVNRGDTIHNVTSDSAFGPVYWVASSADDKYYVKLANYGADTQEITVTISGKTGGKLTVLADSDPKAFNSDTQTLVTPSESDMKATNGKFTFTLPAWSVGVLAAH