Q88UZ3 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie4qwsyo72keol4qydxsspevgwtjb3yhtpiv7b355p5x3ju5ll4ka/metadata.json
IPFS of structure file: 
bafybeifmwd7jsnay3b2zti6kgdjzpyx3pva66tlslulqlxs2av3mzojyay/AF-Q88UZ3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7396c8929a433a5Fdd7F783ca0C1275656EA8780
First NFT owner address (bech32): 
genesis1wwtv3y56gva9lhtl0q72psf82etw4puq0knu4y
Current NFT ID #63550 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63550
Accession (UniProt):
Q88UZ3
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Lactiplantibacillus plantarum (strain ATCC BAA-793 / NCIMB 8826 / WCFS1)

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 Q88UZ3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q88UZ3|CINA_LACPL Putative competence-damage inducible protein OS=Lactiplantibacillus plantarum (strain ATCC BAA-793 / NCIMB 8826 / WCFS1) OX=220668 GN=cinA PE=3 SV=1 MQAEIIAVGTEILLGQITNTNSTYIARGLAELGIDSYYQTVVGDNRQRLSTVIEIAAQRNDLVILTGGLGPTKDDLTKQTLAHYLNVALVEDQAAMQKITAWFATNDKVMTANNRLQALYPAGAQPLTNHNGMAVGAFYQSENSADFLLLPGPPRELAVMFDSEAKPKLAAAYGEQAQIYSRVMRFYGISESELATRLQPLIDEQQAVTIAPYAKTNEVTLRLSAQAMTETAARGMIDKVDHQIKATVGPYFYGYGDDNSLVTTVINQMIAAKLSITAAESLTAGLFQSTIGSVSGVSAIFPGGFVTYANEAKHQLVNVPQAIIDAEGVVSEATAKAMASGAKQQLNTDVGISFTGVAGPGTLGGQPAGTVWIGLAYRDRPVKAKQYHFAGNRQQIRERSVMAGLDLLRHALNEDTDLKK