Q08B84 AF NFT

E3 ubiquitin-protein ligase RNF19B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeick7z627agk2wsucxifhizbksgb6spevborwzcv23r6ukpjwzxs2e/metadata.json
IPFS of structure file: 
bafybeia4mxhudks2dybto2suwxwn2htf45ndrvqvpx5mn7oadpggydvgde/AF-Q08B84-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x010B024D599893c4b5edc91b70cCb2Dc2F8A321a
First NFT owner address (bech32): 
genesis1qy9syn2enzfufd0deydhpn9jmshc5vs623ep59
Current NFT ID #379824 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
379824
Accession (UniProt):
Q08B84
Name::
E3 ubiquitin-protein ligase RNF19B
Experimental Method:
Predicted structure
Sequence source:
XENOPUS LAEVIS

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 Q08B84 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q08B84|RN19B_XENLA E3 ubiquitin-protein ligase RNF19B OS=Xenopus laevis OX=8355 GN=rnf19b PE=2 SV=2 MRLRNDCLVRLLTSWFGIFCLYEMTEGSAEPPPCPGARRRRLLLSLPNVFPGRTRAAPEPSVPSPPPSPPPPPPPPVSVPPPPSSPGGSESLIECPLCLVRQPPEEIPELLSCRHRSCLRCLRQYLRIEICESRVNLRCPECAERLSPQHVRAILRDPLLTRKYEEFLLRRCLAADPDCRWCPAPDCGYAVIAYGCASCPKLTCEREGCRTEFCYHCKHVWHPNQTCDMARQQRAPSLGVRRKHPSGISYGQESGSADDMKSCPRCSAYIIKMNDGSCNHMTCSVCGCEFCWLCMKEISDLHYLSPSGCTFWGKKPWSRKKKIIWQLSTLIGAPVGISLIAGIAIPAMVIGIPVYVGRKIHGRFENKKTSRHKKNLAVTGGVILSVIASPVVAAVSVGIGVPIMLAYVYGVVPVSLCRGGGCGVTTANGKGVKIDFEEDGPITVADAWRALKNPSIGESSMEGLTSVLSTSGSPTDGLSVLQGNYSETASFAALAGGTLTGGMLSGGRAKYCRLEVQADVQKETCQKDSVSLGAVSDSASTRAMAGSIISSYNPQEREVNNMEIQVHIEAKPSRYQLMSESSTEESLHASAPLVESEDAEACRNQVAACDITLAQPESIRSDLESSDAQSDDVPDLASEEYDSPHLFPPSPSNALQESPPHRMCAQEEGLCAHEESLSKVEIIELRV