Q9KAA5 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaszkwzxtvy7ncgg5d2lk5xkt6n7so7mmk5l2547yn7vyaair7j7u/metadata.json
IPFS of structure file: 
bafybeifvkjbglcq23o3cjeu5ghn4jmsqka2ggm3fzkxd5trjvkgpum7ofq/AF-Q9KAA5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xB44F19a0cb161828322eEEd13F55d4C3C34938d2
First NFT owner address (bech32): 
genesis1k383ngxtzcvzsv3wamgn74w5c0p5jwxjy9e46q
Current NFT ID #63496 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63496
Accession (UniProt):
Q9KAA5
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9KAA5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KAA5|CINA_ALKHC Putative competence-damage inducible protein OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=cinA PE=3 SV=1 MKAEVIAVGSELLLGQIANTNGQFLSQQLAKAGVDVFYHSVVGDNATRLQETLEIASERSELIILTGGLGPTKDDLTKEVVASFLHKELVIDEVALEQIVSFFEKRNLPMTENNRKQALVLKEATIFQNHYGMAPGMATIHQGVTYVLLPGPPREMRPMVTEQVIPFLSSHVGDLQIISRVLRFFGIGESKLETELEDLIDGQSNPTIAPLASEGEVTLRLTVKHHDETQAALLLDETERKIRERVGHYFYGYDETSLMEKLVSCLTKTGLSLASAESLTGGLFGARITNIPGASACFLAAITTYTNDMKQSWLNVPPHVLEQHGAVSPECAIAMAQGVKKLTKADVTISFTGVAGPSPSEGKEPGTVFIGLCFRDDEPEAITLQLSGSREQIRERTLKHGCQQILNRIKRWNERSNDKV