Q03EQ4 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibtcrx4titsh2jb3yr7ztqpmpm67dcdjj4dlqhqayhffqudftee4e/metadata.json
IPFS of structure file: 
bafybeibeyymt3affc565nneic42yhivejmhntpsxko24j3sxwznughvouu/AF-Q03EQ4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7694B3f7648E1567BC1D19fAc84e3E86Dd7142c2
First NFT owner address (bech32): 
genesis1w62t8amy3c2k00qar8avsn37smwhzskzs4lxl3
Current NFT ID #63566 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63566
Accession (UniProt):
Q03EQ4
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Pediococcus pentosaceus (strain ATCC 25745 / CCUG 21536 / LMG 10740 / 183-1w)

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 Q03EQ4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03EQ4|CINA_PEDPA Putative competence-damage inducible protein OS=Pediococcus pentosaceus (strain ATCC 25745 / CCUG 21536 / LMG 10740 / 183-1w) OX=278197 GN=cinA PE=3 SV=1 MNAEIISVGTEILLGEIVDTNAVYLSQLFAKLGIDVFNKITVGDNEKNIMDALEVASKRSDLVVTIGGLGPTEDDITKQSLAKFVGKNLKHHPEALQQITDYFKKQNRPLTKNNERQALLLDGAKPIHNPNGLALGIFYHTEQTDYIVLPGPPSEFEPMVDEKVLPLLSQQYGLEKTIQSKTLHFVGIGEADLAARVDEIVRNQSNPTIALYFKPTDVTIRLTAKANSKLAAEEILNHTKKQLLDRVGEFFYAEGDRVSFTDFVVNQLIKRNISLTAAESLTGGAFESTVVETSGAATIFPGGFVTYADEVKSKLIGVQPATIEENTVVSRQVAEEMARGAQKTLDTDIAVSFTGVAGPGALEHHQPGNVWIGLAKRDGSIVTKEFNFVGNREKIRHLAVMNGFRMIWENVIK