B7ITN2 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidaonzpktbhwgt5pmpjml4ci4kxfdtuzdut342w7vs3wxl44dcycm/metadata.json
IPFS of structure file: 
bafybeibwwzmqhzq5dqx2kpjthxnx2s6ypucky6tmz6v5ct75lxrz2hvdpy/AF-B7ITN2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd1A2963012bEcbC7A8f505464439Ab678C48936f
First NFT owner address (bech32): 
genesis16x3fvvqjhm9u0284q4rygwdtv7xy3ym0jw3rdp
Current NFT ID #63506 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63506
Accession (UniProt):
B7ITN2
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain G9842)

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 B7ITN2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7ITN2|CINA_BACC2 Putative competence-damage inducible protein OS=Bacillus cereus (strain G9842) OX=405531 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQKAIEAAEERADILIFTGGLGPTKDDLTKETIAASLDEALVYDEKALALISNYFKRTGREFTENNKKQALVLNGATVFANDHGMAPGMGVNKNGKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVSEAEKLIQHVEDLILERVGEFFYGYDQEFLHYKAIELLKRKGLTLACAESLTGGLFGNQVTENAGVSSVFKGGVICYHNDVKQHVLRVPEEVLHTDGAVSKECAHYLAENVKDLLKADIGISFTGVAGPDASEQKEPGTVFVGLAIKGEQTAVFPLNLSGSRQQIRERSTKYGFYHLYKKLEEI