P0DN94 AF NFT

S-protein homolog 17

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiffad63kzl2p5d6ladeilpjkf6o27wbqlqbivwk63addfotae6d6a/metadata.json
IPFS of structure file: 
bafybeihffm5krqnqfhcmvl2dmqg5herzofzwngluru4q3z2qzwestjolda/AF-P0DN94-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5BeA89782341f98147F2D811B063F91F0aE7D7bF
First NFT owner address (bech32): 
genesis1t04gj7prg8ucz3ljmqgmqcleru9w04al6k7v50
Current NFT ID #434843 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
434843
Accession (UniProt):
P0DN94
Name::
S-protein homolog 17
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 P0DN94 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0DN94|SPH17_ARATH S-protein homolog 17 OS=Arabidopsis thaliana OX=3702 GN=SPH17 PE=3 SV=1 MKNLSIFMFVFSLCMFGHVSRARIRIANELKFKKNLWMRCYSKDDVLGPHIIPIGGHFLDYFGTNFWGTTRFMCTLRQGPNYIHYQSFTAFKLFSMEDHGGLWDWRAREDGIYLKKEGNKFIKNPVNMHKVYDWIN