Q636P5 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiembi63ual5ai6oiz7ic7zeljxtbjn5hpw64gxqg6ng4znwcf4vji/metadata.json
IPFS of structure file: 
bafybeie7wnttkjm2ahufex4r6nfvn247jxsxu23gfntf7hrcjo3d26vdvy/AF-Q636P5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x204aA8D555633B1cE4234b372109632474dc622F
First NFT owner address (bech32): 
genesis1yp923424vva3eeprfvmjzztry36dcc30z0e6la
Current NFT ID #63513 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63513
Accession (UniProt):
Q636P5
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ZK / E33L)

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 Q636P5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q636P5|CINA_BACCZ Putative competence-damage inducible protein OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQQAIEVAEERADMLIFTGGLGPTKDDLTKETIASSLAEELVYDEKALASIGDYFKRTGREFTENNKKQALVLDGATVFANDHGMAPGMGLNKNGKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVDEAEKLIQHVEDLILERVGEFFYGYDQEFLHYKAIELLKKKGLTLACAESLTGGLFGNQVTESAGVSSVFKGGVICYHNDVKQHVLHVPEEVLSTDGAVSKECARYLAENVKELLKADIGISFTGVAGPDASEHKEPGTVFVGLAIKDEPTVVFPLNLSGSRQQIRERSAKYGFYHLYKKLEEI