Q81A15 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicrdawg73h6yefeiv73j34rl5nq6kreezaenbsdhwslkogetxx2fy/metadata.json
IPFS of structure file: 
bafybeieoqay33rqmbyzoxkd5xbqkmqwou7of7lh64knwgrs5x5c7xmghie/AF-Q81A15-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd91633319BDB0a92cbC4f08DeA734Bf74C030064
First NFT owner address (bech32): 
genesis1mytrxvvmmv9f9j7y7zx75u6t7axqxqry8u4g92
Current NFT ID #63512 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63512
Accession (UniProt):
Q81A15
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711)

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 Q81A15 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q81A15|CINA_BACCR Putative competence-damage inducible protein OS=Bacillus cereus (strain ATCC 14579 / DSM 31 / CCUG 7414 / JCM 2152 / NBRC 15305 / NCIMB 9373 / NCTC 2599 / NRRL B-3711) OX=226900 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQKAIEAAEERADILIFTGGLGPTKDDLTKETIAASLDEELVYDEKALALISNYFKRTGREFTENNKKQALVLNGATVFANDHGMAPGMGVNKNRKSYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVSEAEKLIQHVEDLILERVGEFFYGYDQEFLHYKAIELLKRKGLTLACAESLTGGLFGNQVTENAGVSSVFKGGVICYHNDVKQYVLRVPEEVLHTDGAVSKECARYLAENVKDVLKADIGISFTGVAGPDASEQKEPGTVFVGLSIKDEPTVVFPLNLSGSRQQIRERTAKYGFYHLYKKLEEI