Q6DD70 AF NFT

Alpha/beta hydrolase domain-containing protein 17C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibdsnaiejtfa5bxyetcglzbui3vundnmoofqzx6dgnv4lh53geony/metadata.json
IPFS of structure file: 
bafybeie2ewwnbngz5polweujg7g3zqbip4sm4trqz3nwa7mny7rvawofxu/AF-Q6DD70-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBEc3AA10142B8a17933a4cBFcEC73dbF1D48a5ED
First NFT owner address (bech32): 
genesis1hmp65yq59w9p0ye6fjlua3eahuw53f0d68538f
Current NFT ID #3153 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
3153
Accession (UniProt):
Q6DD70
Name::
Alpha/beta hydrolase domain-containing protein 17C
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 Q6DD70 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q6DD70|AB17C_XENLA Alpha/beta hydrolase domain-containing protein 17C OS=Xenopus laevis OX=8355 GN=abhd17c PE=2 SV=1 MPEQGPRMNGFSLGELCWLFCCPPCPSRIAAKLAFLPPEPTYTVREMEAPASTAQQPPREEGSGEPAACSLHLSERADWQYSQRELDAVEVFRWRTERGSFLGCMFVRCSPGSRYTLLFSHGNAVDLGQMCSFYIGLGTRINCNIFSYDYSGYGVSSGKPSEKNLYADIEAAWHALRTRYGVTPENIILYGQSIGTVPTVDLASRYECAAVILHSPLMSGLRVAFPDTRKTYCFDAFPSIDKISKVTSPVLIIHGTEDEVIDFSHGLAMYERCPRAVEPLWVEGAGHNDIELYAQYLERLKQFISHELPNS