B7JJ59 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifudo6d3jx77yit3xxdkn3nh5ui2jfxesub4rm54an3erkwoxob5y/metadata.json
IPFS of structure file: 
bafybeibqx7e5fbbtlaxkakppmpu3waspa4nplpm5c57hj3jww3gz5iwjxu/AF-B7JJ59-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6F96E7ECD556d5E02BecEf6eBE49253734162c59
First NFT owner address (bech32): 
genesis1d7tw0mx42m27q2lvaahtujf9xu6pvtzefut483
Current NFT ID #63504 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63504
Accession (UniProt):
B7JJ59
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain AH820)

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 B7JJ59 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7JJ59|CINA_BACC0 Putative competence-damage inducible protein OS=Bacillus cereus (strain AH820) OX=405535 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQQAIEVAEERADMLIFTGGLGPTKDDLTKETIASSLAEELVYDEKALASISDYFKRTGREFTENNKKQALVLDGATVFANDHGMAPGMGLNKNGKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVDEAEKLIQHVEDLILERVGEFFYGYDQEFLHDKAIELLKKKGLTLACAESLTGGLFGNQVTESAGVSSVFKGGVICYHNDVKQHVLHVPEEVLFTDGAVSKECARYLAENVKELLEADIGISFTGVAGPDASEHKEPGTVFVGLAIKDEPTVVFPLNLSGSRQQIRERSAKYGFYHLYKKLEEI