Q9CS74 AF NFT

Protein ecdysoneless homolog

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidfqfquodsp4sv6ghkp5gprh7kcqbjajpayoh66dqi67jwpy2j64e/metadata.json
IPFS of structure file: 
bafybeihbdwjvkzeann6vioxhqyo7gnx4apcodaq4qn7hviairzz424tgju/AF-Q9CS74-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #109527 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
109527
Accession (UniProt):
Q9CS74
Name::
Protein ecdysoneless homolog
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 Q9CS74 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9CS74|ECD_MOUSE Protein ecdysoneless homolog OS=Mus musculus OX=10090 GN=Ecd PE=1 SV=2 MEGSGKLAMVEDAVEYHLFLIPDKARGTEEHREILQKYIERIMTQFAPILVPYIWQNQPFNLKYKPAKGGVPAHMYGMTKFGDNIEDEWFIVYVIKQITKEFPELVARVEDNDGEFLLIEAADFLPKWLDPDNSANRVFFHHGELCIIPVPRKSERIPWLPMTPPTIQQALSIISAHPEAVLASESIQAAVDRRVSGYPERVEASLHRAHCFLPAGIVAVLKQQPRLLSAAVQAFYLRDPIDLRACRVFKTFLPETRIMASVTFTKCLYAQLVQQKFVPDRRSGYGLPPPSHPQYRAYELGMKLAHGFEILCSKCSPHFSDSRKSLVTASPLWASFLESLKRNDYFKGLMDGSAQYQERLEMAKNYFQLSIHRPESSLAMSPGEEILTVLQTQPFDVAELKTEEADLPPEDDDQWLDLSPDQLDQLLQDAAGRKESQPGPQKEELQNYDVAQVSDSMKAFISKVSSHKGAELPRDPSEAPITFDADSFLNYFDKILGAKPQESDSEDDPGEEDVEGVDSDDDVGFEAQESESLKGALGSLKSYMARMDQELAHTSMGRSFTTRERLNKDPPSHTANDNSDEEDSGAGDCAVEAVDVDLNLISNILESYSSQAGLAGPASNLLHSMGVRLPDNADHNPQVSQ