Q0D1I6 AF NFT

Probable alpha-L-arabinofuranosidase C

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeigs4smgtxtplqgwnhuqaa5zabxms2rqnj7y45kpjggkuirksp5bua/metadata.json

IPFS of structure file:

bafybeigq67ffgmgtzkrnxao43iz4nptssjnr3vuwjt2acnzhht2tovocky/AF-Q0D1I6-F1-model_v2.pdb

First NFT owner address (eip-55):

0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C

First NFT owner address (bech32):

genesis1nas9xydhufh8vdqyy0h6l0j79m785zmurgry0u

Current NFT ID #3669 owner (web3):

0x9F605311B7e26e76340423EfAfbE5e2EFc7A0b7C

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
3669
Accession (UniProt):
Q0D1I6
Name::
Probable alpha-L-arabinofuranosidase C
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 Q0D1I6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0D1I6|ABFC_ASPTN Probable alpha-L-arabinofuranosidase C OS=Aspergillus terreus (strain NIH 2624 / FGSC A1156) OX=341663 GN=abfC PE=3 SV=1 MTTFTKLSEQEAPSLSVHPTRRISKINPNIYAGFTEHMGRCIYGGIYDPGNPLSDENGFRKDVLEALKELNIPVVRYPGGNFMATYHWIDGVGPKDQRPARPELAWLGTETNQFGTDEFLKWCEVLGTEPYFCLNFGTGTLDEALAWVEYCNGTRDTYYANLRRKNGREEPYNVKYWALGNETWGPWQVEQMTKEAYAHKAYQWAKALKLLDPSLVLVLCGQDGTASWDYYTLKQCLLPLNSPLSTSAVPLIDMHSIHLYTASSDHRANATAPLAAERAIEITSSLIDLARIENGVPADQLRPTICFDEWNVWDPIRAEGSKGAEECYTLSDALAVAVYLNVFVRKSKDLGMCCIAQSVNVISPLMTTKDGITKQTTWWPLYLFSRYMRGWTISAHLSCSTYEGETSPKWVRGVKDTPWLDVSATLGEDGYVNLAVVNVHDDKGIETQLEGPSGEVSVFTVTGDNVNVTNMKGKQEVGIVESTWDGKGKYVFPKHSFTLLRWKA

MOLNFT AF v1_w

NFT data

MOLNFT Q0D1I6 research and analysis (ICN3D with VR)

FASTA sequences

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