P46323 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihsmvlngbdkrfzt6nj65fmr3otjjznsldb2j4jkov4qddaxlcmo7q/metadata.json
IPFS of structure file: 
bafybeie7tp4efxftnxjpc2nwx35mz2fn7kuv37ushq6p57xvwmcif7zbgu/AF-P46323-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xD3703574058462cb4babd62a0Dc3a050fA4a6657
First NFT owner address (bech32): 
genesis16dcr2aq9s33vkjat6c4qmsaq2ray5ejhmvt05r
Current NFT ID #63518 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63518
Accession (UniProt):
P46323
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
BACILLUS SUBTILIS (STRAIN 168)

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 P46323 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P46323|CINA_BACSU Putative competence-damage inducible protein OS=Bacillus subtilis (strain 168) OX=224308 GN=cinA PE=3 SV=3 MEFPKKAEIIAVGSELLLGQIANTNAQFISKQLAEIGVNVFYHTAVGDNPERLKQVIRIAEERSDFIIFSGGLGPTKDDLTKETIANTLGRPLVLNDEAFQSIEDYFKRTKRTMSPNNRKQALVIEGSDVLANHFGMAPGMLTEHESRYYMLLPGPPSELRPMFENEAKPLLLKKMGSNEKIVSTVLRFFGIGESQLEADLEDIIDAQTNPTIAPLAADGEVTLRLTAKHADEKETERLLKETEAVILERVGEFFYGYDDTSLVKELSIACKEKGITISAAESFTGGLFSEWLTDHSGASKLFAGGVVCYTNDVKQNVLGVKKETLDRFGAVSKECASELAKGVQKLTGSDIGISFTGVAGPDAQEGHEPGHVFIGISANGKEEVHEFHFAGSRTGIRKRGAKYGCHLILKLLEQK