Q27701 AF NFT

Anhydrosialidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih47k2l57mdxl7keqiez2445gkdfvi6roh7hwo6df465lgkglo2yy/metadata.json
IPFS of structure file: 
bafybeihiy7kjpnhu2heag37pd2ju7o6zks2efyxxvl6ib7cctcogebtreu/AF-Q27701-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x427e68f05f744219B309103d2007fE86285E60c9
First NFT owner address (bech32): 
genesis1gflx3uzlw3ppnvcfzq7jqpl7sc59ucxfdpclfp
Current NFT ID #259026 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
259026
Accession (UniProt):
Q27701
Name::
Anhydrosialidase
Experimental Method:
Predicted structure
Sequence source:
MACROBDELLA DECORA

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 Q27701 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q27701|NANL_MACDE Anhydrosialidase OS=Macrobdella decora OX=6405 PE=1 SV=1 MGRIGKKAMAIALVSAVMVTPLNVCATVENQEQQQVTQGAEDIAVIDDAQETVAADEAQADEAAAITVEGRETAEESSASIPEGILMEKNNVDIAEGQGYSLDQEAGAKYVKAMTQGTIILSYKSTSENGIQSLFSVGNSTAGNQDRHFHIYITNSGGIGIELRNTDGVFNYTLDRPASVRALYKGERVFNTVALKADAANKQCRLFANGELLATLDKDAFKFISDITGVDNVTLGGTKRQGKIAYPFGGTIGDIKVYSNALSDEELIQATGVTTYGENIFYAGDVTESNYFRIPSLLTLSTGTVISAADARYGGTHDSKSKINIAFAKSTDGGNTWSEPTLPLKFDDYIAKNIDWPRDSVGKNVQIQGSASYIDPVLLEDKLTKRIFLFADLMPAGIGSSNASVGSGFKEVNGKKYLKLRWHKDAGRAYDYTIREKGVIYNDATNQPTEFRVDGEYNLYQHDTNLTCKQYDYNFSGNNLIESKTDVDVNMNIFYKNSVFKAFPTNYLAMRYSDDEGASWSDLDIVSSFKPEVSKFLVVGPGIGKQISTGENAGRLLVPLYSKSSAELGFMYSDDHGDNWTYVEADNLTGGATAEAQIVEMPDGSLKTYLRTGSNCIAEVTSIDGGETWSDRVPLQGISTTSYGTQLSVINYSQPIDGKPAIILSSPNATNGRKNGKIWIGLVNDTGNTGIDKYSVEWKYSYAVDTPQMGYSYSCLAELPDGQVGLLYEKYDSWSRNELHLKDILKFEKYSISELTGQASGN