Q99235 AF NFT

Conglutin delta 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeico6g5nho37rub75pq3j2rsymhxy6nlm4qsfojitn2z4ijdxfnipu/metadata.json
IPFS of structure file: 
bafybeib3mswxpmyoovcir36kzg4qzbcycajqslwy42aax7pjlynfnuwp6y/AF-Q99235-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x75a0B34D1dbc9C40E491eea9b045D34E5f310b57
First NFT owner address (bech32): 
genesis1wkstxngahjwypey3a65mq3wnfe0nzz6heked8q
Current NFT ID #72494 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
72494
Accession (UniProt):
Q99235
Name::
Conglutin delta 2
Experimental Method:
Predicted structure
Sequence source:
LUPINUS ANGUSTIFOLIUS

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 Q99235 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q99235|COND2_LUPAN Conglutin delta 2 OS=Lupinus angustifolius OX=3871 GN=TanjilG_23180 PE=1 SV=1 MAKLTILIALVAALVLVVHTSAFQSSKQSCKRQLQQVNLRHCENHIAQRIQQQQEEEEDHALKLRGIKHVILRHRSSQEYSEESEELDQCCEQLNELNSQRCQCRALQQIYESQSEQCEGSQQEQQLEQELEKLPRTCGFGPLRRCDVNPDEE