Q1CNA0 AF NFT

3-ketoacyl-CoA thiolase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeias6ar256mlkaypxk4oldfpgk3ulzulpxzq5sfntbh53fpe3pg7fe/metadata.json
IPFS of structure file: 
bafybeigfqxromwsamiarxy3m6h2goy3ysjlfuvlpbdl2xvlqamnt53z4te/AF-Q1CNA0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa52b97c937eA9921ce330C979Ff59b62a0F55FC8
First NFT owner address (bech32): 
genesis1554e0jfha2vjrn3npjtelavmv2s02h7gpye4vz
Current NFT ID #125867 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
125867
Accession (UniProt):
Q1CNA0
Name::
3-ketoacyl-CoA thiolase
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CNA0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CNA0|FADA_YERPN 3-ketoacyl-CoA thiolase OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=fadA PE=3 SV=1 MENVVIIDAVRTPMGRSKGGAFRHVRAEDLSAHLMRAVISRNPGLNAAEIDDIYWGCVQQTLEQGFNIARNASLLAEIPHSVPAVTVNRLCGSSMQALHDGARAIMVGDAKISLIGGVEHMGHVPMNHGVDFHPGMGRTVAKAAGMMGLTAEMLAKIHNISRQSQDEFAFRSHQRAYAATQAGHFAKEIVATNGHDAEGVLKRFDFDEVIRPETNLSGLAALRPAFDPVNGTVTAGTSSALSDGASAMLIMSESRAKSLGLTPRARIRSMAVVGCDPSIMGYGPVPASQLALKRAGLELADIGLFELNEAFAAQSLACLKGLGLLESMDDKVNLNGGAIALGHPLGCSGARISTTLLNLMERRDVQFGLATMCIGLGQGIATVFERL