P02866 AF NFT

Concanavalin-A

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieikvtdbwtnedwr7enqydnj5lbkwrnutzovoz3i3syfcm5xtl5mea/metadata.json
IPFS of structure file: 
bafybeiayngi6x337k347moeu57fws4cfe2yxmvjrkzg7mxan4vokjulu7y/AF-P02866-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x68211153F5d6EA962c60655EB18c9D34eA735712
First NFT owner address (bech32): 
genesis1dqs3z5l46m4fvtrqv40trryaxn48x4cjfknfhp
Current NFT ID #72480 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
72480
Accession (UniProt):
P02866
Name::
Concanavalin-A
Experimental Method:
Predicted structure
Sequence source:
CANAVALIA ENSIFORMIS

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 P02866 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P02866|CONA_CANEN Concanavalin-A OS=Canavalia ensiformis OX=3823 PE=1 SV=2 MAISKKSSLFLPIFTFITMFLMVVNKVSSSTHETNALHFMFNQFSKDQKDLILQGDATTGTDGNLELTRVSSNGSPQGSSVGRALFYAPVHIWESSAVVASFEATFTFLIKSPDSHPADGIAFFISNIDSSIPSGSTGRLLGLFPDANVIRNSTTIDFNAAYNADTIVAVELDTYPNTDIGDPSYPHIGIDIKSVRSKKTAKWNMQNGKVGTAHIIYNSVDKRLSAVVSYPNADSATVSYDVDLDNVLPEWVRVGLSASTGLYKETNTILSWSFTSKLKSNEIPDIATVV