Q732U5 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif3wljr6f6gmzyzo5euntg7vurwjr42bqs4weepqvsv3ycjxm53o4/metadata.json
IPFS of structure file: 
bafybeidk447bbifgwcjgvrujsle24df37opu47izyvzocwro5youmjjt5i/AF-Q732U5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5447eDcFe8562ba9C3eB635Ec6a4DCb48783EDdc
First NFT owner address (bech32): 
genesis123r7mnlg2c46nsltvd0vdfxukjrc8mwuu2vfcj
Current NFT ID #63505 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63505
Accession (UniProt):
Q732U5
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ATCC 10987 / NRS 248)

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 Q732U5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q732U5|CINA_BACC1 Putative competence-damage inducible protein OS=Bacillus cereus (strain ATCC 10987 / NRS 248) OX=222523 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQQAIEVAEERADMLIFTGGLGPTKDDLTKETIASSLGEELVYDENALALISDYFKRTGREFTENNKKQALVLNGANVFANDHGMAPGMGLNKNGKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVDEAEKLIQHVEDLILERVGEFFYGYDQEFLHYKAIELLKKKGLTLACAESLTGGLFGNQVTESAGVSSVFKGGVICYHNDVKQHVLHVPEEVLSTDGAVSKECARYLAENVKELLKADIGISFTGVAGPDASEHKEPGTVFVGLAIKDEPTVVFPLNLSGSRQQIRERSAKYGFYHLYKKLEEI