O70263 AF NFT

E3 ubiquitin-protein ligase LNX

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigxrnzmyssnlroidnxpxryo4unrfxkq5ikklu4j3uvlqzpuxihfcq/metadata.json
IPFS of structure file: 
bafybeibn2fcaqdgxiz66l6hp7ur352n3qk5pq77q44c74w2ixbwlkmg3py/AF-O70263-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Ea5fCC25611AAa9B10a72a49dC4816Fe9839C7f
First NFT owner address (bech32): 
genesis1f6jlesjkzx42nvg2w2jfm3ypdl5c88rld6thdw
Current NFT ID #215982 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
215982
Accession (UniProt):
O70263
Name::
E3 ubiquitin-protein ligase LNX
Experimental Method:
Predicted structure
Sequence source:
MUS MUSCULUS

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 O70263 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O70263|LNX1_MOUSE E3 ubiquitin-protein ligase LNX OS=Mus musculus OX=10090 GN=Lnx1 PE=1 SV=1 MNQPDLADDPDPSPEPLCIVCGQNHSPEENHFYTYTEDVDDDLICHICLQALLDPLDTPCGHTYCTLCLTNFLVEKDFCPVDRKPVVLQHCKKSSILVNKLLNKLLVTCPFTEHCTEVLQRCDLQHHFQTSCKGASHYGLTKDRKRRSQDGCPDGCASLMATTLSPEVSAAATISLMTDEPGLDNPAYVSSVEDGEPVANSSDSGRSNRTRARPFERSTMRSRSFKKINRALSALRRTKSGSVVANHVDQGRDNSENTTVPEVFPRLFHLIPDGEITSIKINRADPSESLSIRLVGGSETPLVHIIIQHIYRDGVIARDGRLLPGDIILKVNGMDISNVPHNYAVRLLRQPCQVLRLTVLREQKFRSRSNAHVPDSYGPRDDSFHVILNKSSPEEQLGIKLVRRVDEPGVFIFNVLNGGVADRHGQLEENDRVLAINGHDLRFGSPESAAHLIQASERRVHLVVSRQVRQSSPDIFQEAGWISNGQQSPGPGERNTASKPAATCHEKVVSVWKDPSESLGMTVGGGASHREWDLPIYVISVEPGGVISRDGRIKTGDILLNVNGIELTEVSRTEAVAILKSAPSSVVLKALEVKEQEAQEDCSPAALDSNHNVTPPGDWSPSWVMWLELPQYLCNCKDVILRRNTAGSLGFCIVGGYEEYSGNKPFFIKSIVEGTPAYNDGRIRCGDILLAVNGRSTSGMIHACLARMLKELKGRITLTIASWPGTFL