Q5L0F7 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieawjqhanqkp6wzekhrrundu2dax2gaymabpdwpqmvwx4tcxpudqa/metadata.json
IPFS of structure file: 
bafybeigmwf5mugdveku3ytewfq56uwundd73rojdqqr744ubcqyuopcfpq/AF-Q5L0F7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0EA189b2343A464f560b44103f6A3396Da1dA8a9
First NFT owner address (bech32): 
genesis1p6scnv358fry74stgsgr763njmdpm29fgnp4ht
Current NFT ID #63545 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63545
Accession (UniProt):
Q5L0F7
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
GEOBACILLUS KAUSTOPHILUS (STRAIN HTA426)

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 Q5L0F7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5L0F7|CINA_GEOKA Putative competence-damage inducible protein OS=Geobacillus kaustophilus (strain HTA426) OX=235909 GN=cinA PE=3 SV=1 MNAEIIAVGSELLLGQIANTNAQFLSQQLAMLGINVYFHTVVGDNAGRLEQAVKTAQTRANLIIFTGGLGPTKDDLTKETIARLLGRRLVIDEEALRAIEVYFARTNRPMTENNKKQALVLEGSTVLKNEHGMAPGMALVADGITYMLLPGPPKEMRPMFKKYGNAFLRRTFSLSERIESRVLRFFGIGESALETAIADLIDAQSNPTIAPLAGDGEVTLRLTAKHQDEAEAKRLLDEVESAILARVGRHCYGYNDETLFTKTLERLKERGWTIASAESLTGGLFLEQLTALPGASQVVQGGVVCYTNGVKEQVLGIPRPLLEAEGAVSEPCARLLAENVRAMCDADIGISFTGVAGPDPLEGHPPGTVYIGIAVRGRDATVHRLMLSGTRDAIRIRTAKYGCFFLLEMLAADC