Q0CTV2 AF NFT

Probable alpha-L-arabinofuranosidase A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvklfger7e2m4j7juv7cdvgtzvxxm43kzax4f6udruyyexhq472q/metadata.json
IPFS of structure file: 
bafybeiegos3pp7stasqp2ehgdp3iqlmhifzrwapbf6f3mq6ocxcg6qvlfy/AF-Q0CTV2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #3649 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3649
Accession (UniProt):
Q0CTV2
Name::
Probable alpha-L-arabinofuranosidase A
Experimental Method:
Predicted structure
Sequence source:
Aspergillus terreus (strain NIH 2624 / FGSC A1156)

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 Q0CTV2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0CTV2|ABFA_ASPTN Probable alpha-L-arabinofuranosidase A OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=abfA PE=3 SV=1 MVAFSTISGLGALSLLFSIIESVDGVSLKVSTDGGNSSSPLLYGFMFEDINHSGDGGIYGQMIQNNGLQGSSPNLTAWASVGDGTISVDTTNPLTAAIPNSLKLDIKPDATGAVGFTNEGYWGIPVDGTEFQNSFWMKGDFSGEITVRLVGNETGTEYGSTTFNQSSSSDDYTKVSVKFPTTKAPDGNVLYELTVDGESAQGSSLSFTLFELFAQTYKSRSNGLKPQLADALESVKGSFLRFPGGNNLEGNDVETRWKWNETIGPLENRPGHQGTWGYFNTDGLGLDEYLYWCEDMNLTPVLGVWAGFALESGGNTPITGDALTPYIEDVLNELEYVLGDPSTTYGKLRASYGREEPWNVTLVEIGNEDNLGGGCESYAERFTAFYNAIHDAYPDLTLIASTDNASCLPSPLPEGAWVDYHNYNTPDELVKQFGMFDNVDRSVPYFIGEYSRWEIPWPNMQGSVAEAVFMIGLERNSDVVKMAAYAPLLQLVNSTQWTPDLISFTQNPNMVIDSTSYYVQQMFSVNRGDTIKEVTSDSAFGPVYWVASSSGSSYYVKLANYGADTQEVSVSIPGMSSGKLTVLADSDPEAYNSDTQTLVTPSESNVQASNGQFSFTLPAWSVAVLTAN