Q54JL7 AF NFT

Phosphatidylinositol 3,4,5-trisphosphate 3-phosphatase cnrN

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihps5elysff4cbv3oqqf323kphwhzdqsud5nacr2eeql7dsuliqgq/metadata.json
IPFS of structure file: 
bafybeiabsxns6ltjlkfpqqpyavpszpjgbytsln73hko6fklv54wndikekm/AF-Q54JL7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8841A75A4374915eB1e3A60827149042327e3c89
First NFT owner address (bech32): 
genesis13pq6wkjrwjg4av0r5cyzw9ysgge8u0yfr5k8l7
Current NFT ID #68683 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
68683
Accession (UniProt):
Q54JL7
Name::
Phosphatidylinositol 3,4,5-trisphosphate 3-phosphatase cnrN
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q54JL7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q54JL7|CNRN_DICDI Phosphatidylinositol 3,4,5-trisphosphate 3-phosphatase cnrN OS=Dictyostelium discoideum OX=44689 GN=cnrN PE=1 SV=1 MNQVFFSKIRSLVSADRHRFKSKEMDLDLDLSYITDNILAMGFPGTGLEASWRNSIDDVCELLKQKHHGKYMIWNLSERVYDYSKLNNQILEFPFLDHHPPPLSLLFEIVNSLSNWLKADAENVAVVHCKGGKGRTGTIICCYLYYSCQFEIMDDAKNHFAEKRSKMKKGVTQPSQQRYINYFKEIVSGSHMVEEFVLTFRSIELGPLTKDQANSLSFEIFEHAKEPILNFASSSNSIQIVPINNDNSESNNNNNNNNNNNNNNNNQQQQLYKIIILIQKKVQNDVLIRVYRGDTGKGKGKMKKQIFHLIFNIAFVNLDQCLFGMNEFDHFKSSKKYDPNLQMECRFQNNCTGAPDHSFKIWNIMALQYQRTKSSLNNSITDIKSINEINSTNNNNILASSAPTPLTTTTTTTTTTTTTSLPSSEHSTPQILISSSDANLDLKNCNINCDSSSGGGSNSSRNSNSNSRGGSSNSSSNRSSTSSRSSITTDSIKPSCSSDSICNNSSICNNSCNNNNNNNNNNNNNNNNNNNNNNNNNNNKNSNNNNNESSSNSNDDSDSEASIRKRKNTLWSSGSSIKLKPSPNLSRLSLFNGHRQSFTKKINPNNNEENVDQKTLPILKKETNDPSESDIKNVEIIQD