Q9LEV0 AF NFT

Serine/threonine-protein phosphatase 7 inactive homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifainpfap3567eiwcugidltldvecvispew7mef3jk2nd27kjyfyyu/metadata.json
IPFS of structure file: 
bafybeiftoeghzsfy4xworm4ce7jd66z62bwoi5fbjhpu5saoh7otknrcuq/AF-Q9LEV0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9cF378e1AE3788b0f9f7F6910A4e1CE80D6DAb25
First NFT owner address (bech32): 
genesis1nneh3cdwx7ytp70h76gs5nsuaqxkm2e9zuly8p
Current NFT ID #307400 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
307400
Accession (UniProt):
Q9LEV0
Name::
Serine/threonine-protein phosphatase 7 inactive homolog
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 Q9LEV0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9LEV0|PPP7I_ARATH Serine/threonine-protein phosphatase 7 inactive homolog OS=Arabidopsis thaliana OX=3702 GN=At5g10900 PE=3 SV=1 MPPPEISKRVLDSKLEACKFAFLKLSAVKTTRMKNYKQLRTLLMLKEISRRGADRDFLKDPENSVTRILCSVLKQVVSNSDRSLKSLRGFQYETLDDQEKQQVTRMIASVQGMGSRKYEPETVDHLEDMTEPIEMEIYLGNGDGGDFGDIVLEPISWPLESQLTLEWVETLMGLLNQSTWKNSVSEFSLILPHSVAVSLVDCASQILEKEANCVKINGCSEDSRVIVVGDLHGQLHDLLKIFDQSGRPSQNQCFVFNGNYIGRGSWSLEVFLVLLAWKIMMPENVILLRGSSETRVSAEELDFLKDICDRYGEHGPMLYSKCIDCFKMLPLASVISNSVYTTHGGLFQSCGVHEESPNPSLLLGSLEELDKIERRQAGENDDENITLNHVLWSCPWMADGLSESNYKGLLWGADCTETFLQQSNLKMIIRSHEGPDARADREDMGNMLSGYSIDHEVESGKLCTVFSASMFSQGSRNYENEGAYAVLEPPNFTEPVFVSYTVENVPRLQHQIISDGSSTQQQQMWENRTGHGFASMGISNPPSWTVPLPNDPSQILQLREPPQVFEGLPLPDNIQEPHKSNYDYLFRLISALKQEIQTRV