Q69ZQ1 AF NFT

Myogenesis-regulating glycosidase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigcyi2f27lzdcj3bsni5w4xspdj3tm7fvarazpyww6mjmiglkpdzu/metadata.json
IPFS of structure file: 
bafybeibizumvdmeywusnwhh6rbzo3bzrejatmroj73w6sssgcgoe25zgt4/AF-Q69ZQ1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA35a3d2F3CD94d1eAB5DE310bC45150DB5ad0e80
First NFT owner address (bech32): 
genesis15ddr6teum9x3a26auvgtc3g4pk666r5q8850fq
Current NFT ID #255712 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
255712
Accession (UniProt):
Q69ZQ1
Name::
Myogenesis-regulating glycosidase
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 Q69ZQ1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q69ZQ1|MYORG_MOUSE Myogenesis-regulating glycosidase OS=Mus musculus OX=10090 GN=Myorg PE=1 SV=2 MSQNLQETSQAYPRHRPGSHAGPKSLKVTPRATMYTFLPDNFSPAKPKPTKELRPLLCSAVLGLLLVLAAVVAWCYYSASLRKAERLRAELLDLNRGGFSIRNQKGEQVFRLAFRSGALDLDSCSRDGALLGCSRAADGRPLHFFIQTVRPKDTVMCYRVRWEEAVPGRAVEHAMFLGDAAAHWYGGAEMRTQHWPIRLDGQQEPQPFVTSDVYSSDAAFGGILERYWLSSRAAAIKVNDSVPFHLGWNSTERSMRLQARYHDTSYKPPAGRTAAPELSYRVCVGSDVTSIHKYMVRRYFNKPSRVPASEAFRDPIWSTWALHGRAVDQNKVLQFAQQIRQHRFNSSHLEIDDMYTPAYGDFNFDEGKFPNASDMFRRLRDAGFRVTLWVHPFVNYNSSSFGEGVERELFVREPTGRLPALVRWWNGIGAVLDFTHPEAREWFQGHLRRLRLRYNVTSFKFDAGEVSYLPRDFSTYRPLSDPSVWSRRYTEMAEPFFSLAEVRVGYQSQNISCFFRLVDRDSVWGYDLGLRSLIPAVLTVSMLGYPFILPDMIGGNAVPERTAGRQDGPGPERELYVRWLEVAAFMPAMQFSIPPWQYDAEVVAIAHKFAALRASLVAPLLLELAGEITDTGDPIVRPLWWIAPGDETAHRIDSQFLIGDTLLVAPVLEPGKQERDVYLPAGKWRSYKGELFDKTPVLLTDYPVDLDEVAYFTWAS