Q9FFW6 AF NFT

Jacalin-related lectin 44

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiazf7tbxohiur63qfvg5vuhm4piq4bezag345fffw5zhkqb4ofsie/metadata.json
IPFS of structure file: 
bafybeieb5cphz54w4p6l3soypou76jcxjmh4hese3hkb6rfyv4wvxajxh4/AF-Q9FFW6-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x564AA69Ea37cc6110e2E0826D8DB19f7e606b966
First NFT owner address (bech32): 
genesis12e92d84r0nrpzr3wpqnd3kce7lnqdwtxuh38d2
Current NFT ID #196178 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
196178
Accession (UniProt):
Q9FFW6
Name::
Jacalin-related lectin 44
Experimental Method:
Predicted structure
Sequence source:
ARABIDOPSIS THALIANA

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 Q9FFW6 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9FFW6|JAL44_ARATH Jacalin-related lectin 44 OS=Arabidopsis thaliana OX=3702 GN=JAL44 PE=2 SV=1 MIQKLGAKGIKSDERNQREWDDGSEHDDVTKIYVRGGREGIRSIYFNYVKNGKPKDGSIHGYFDSGFTQTFEINHLRGEYLESVDAYYDKKSYGMQAIQFKTNFRTSELMGYSYECTMFTLAVQGKKIIGFHGSNYVHILSLGAYFISIAPTRLEVKGSKGSKKWDDGFDHENVSKIEVLGGFEGILYIKVDYIKNGKLETGLVHGHSGGDGFLQKMEINQSKNEYLVYVEGYYDDASETIQGLHFQTNLNNPVMMGYKKGRKFLLASNGNKIIGFHGYADKSLNSLGAYFSTTTPNKLECQGDRKGLPWDDGCNYDGVKKVYVDSISDIDSVRFEYDNGGKVEKTPYRRDVTNEKEFVLDYPNEFITSVEGTLATPTNFDITWILSLTFKTSKGRTSPTFGSSSPGRKFVLEKNGSALVGFHGYIGPGYNIKALGAYYRPIPPTPDVKRLEAQGGDGGASWDDGGTFNSVRKIYIGLGKNVVGFVKFLYYKNARVVIGDDHGNKTLSSDLLEFLLDPFEHIISVEGTYDDTSGGITMLRFETNLQKSPYFGFGTTSNFLLHKDNHQIVGFHGKSSNMLHQLGVHVIPNGFKFI