A7GRB0 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibxlljlzgrb4xwwbkd3y3vkvygcwdw2i6szxc62updmjokeo5nw3q/metadata.json
IPFS of structure file: 
bafybeied2it5p2g6ukafldtljje75pirwhhuugt3jw23hnyuftaoitck34/AF-A7GRB0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5881B09f2D8e743400698633641fc1cD2Ed2BE6F
First NFT owner address (bech32): 
genesis1tzqmp8ed3e6rgqrfscekg87pe5hd90n0e7l5st
Current NFT ID #63510 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63510
Accession (UniProt):
A7GRB0
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus cytotoxicus (strain DSM 22905 / CIP 110041 / 391-98 / NVH 391-98)

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 A7GRB0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7GRB0|CINA_BACCN Putative competence-damage inducible protein OS=Bacillus cytotoxicus (strain DSM 22905 / CIP 110041 / 391-98 / NVH 391-98) OX=315749 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQITNTNAKFLSEKLASIGINVYYHTVVGDNTRRLQEAIRTAEKRANILIFTGGLGPTKDDLTKETIASIVKEDLVYDEAALTSIREYFNRTGREFTENNKKQALVLKGSTVFANNHGMAPGMGLHKNEKVYILLPGPPKEMQPMYNSYVDPFLRNVTTGEHIYSRVLRFFGIGESQLEVKVQDLIDNQTNPTIAPLASDGEVTLRLTAKHQNVEQAELLIQQVEHLILERVGEFFYGYNEDFLHHKAIELLKKKGFTLACAESLTGGLFGNQVTENAGVSSVFKGGVICYHNDVKQHILQVPEETLQTAGAVSEECARYLAENVKLLLQSDIGISFTGVAGPDASENKEPGTVFIGLAIKDEPTIVFPLCLSGSRQQIRERTVKYGFYHLYKKLEEM