Q9W032 AF NFT

Protein ecdysoneless

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieblyfv2qymsn3qudoptq3ag3fhlzpppne7p3ele47kqf4vqch64m/metadata.json
IPFS of structure file: 
bafybeidr5mw6cnu23q27e62fhabwo3gt3u4hwswt7llwkmk5prrf5aiyta/AF-Q9W032-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2060CE27f80b40356E090723Cf782004028faaeB
First NFT owner address (bech32): 
genesis1ypsvuflcpdqr2msfqu3u77pqqspgl2htmnw0wa
Current NFT ID #109525 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
109525
Accession (UniProt):
Q9W032
Name::
Protein ecdysoneless
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q9W032 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9W032|ECD_DROME Protein ecdysoneless OS=Drosophila melanogaster OX=7227 GN=ecd PE=1 SV=1 MSKIPGSNLEFVREEDFVEYYIFPKIPDNVQDEGALRKLMLQIRNEISAIVREKSLERSYLWHKDEFQLQVRLGGAEERLLNEETNPEEEAELGDLPPHFHGVTHYGDNISDEWFVVYLLTEITRARGDCIARVSDSDGEFLLIEAADALPDWASPETCEQRVYLVGGHLQLLQNSAASSQDKPLTMAMAVQRIRMNPTLYRCSQEIQSCIDARLKEYQIAQPHFSIHRQVLELPHSAAQLLKQKPRLLSSAVRAFCERDSLDIKALRTMRYFPPEATRVRTNVRFTRCLYAMLSHQQYLPEKRLGWHLTDPVSEPERYKEQLLGLKLASGLEILATQAKRVEGQQLEDLPAWRSYLRSLLSKGYFRDNIEGSAEYQELLNKAKVYFRGNQERFRTASRAGAEILDLLLHPAEAASEELRDEENNLQPSDSDEWLNISAEDLDSMLQDRYGPKKLYKPNGQMNAEEFTKQLAEFLDRQSNYEGIEHRGLEEPELDSDDDEPPPQANGSTGLTAKVKKNPSMRKACQRNSVIQPEEPDSTHVRNFLDFVIPEDNWDSTSEMSDYADEDDMESNLNALSGGGSVFPLDRQIQSYMEQMDRELAQTSVGKSFHGKKKTAPQADEDDFDDIEDFEPININVNTLRNMMDSYQSQVGGAGPVSNLFSAMGVGMSAVEDKEQKDISESAV