B7HDQ5 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiejriqrrzuayeerop5wrml56cfdxcemh3j3on5owbko6gx2op2kpq/metadata.json
IPFS of structure file: 
bafybeihrkt5o63olo74mnwz66esybppd2i44dra5it5o2wv2shmpkgoyza/AF-B7HDQ5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x53b28510180402947A4334bb5E9B806FD2b6c2C0
First NFT owner address (bech32): 
genesis12weg2yqcqspfg7jrxja4axuqdlftdskq9klawd
Current NFT ID #63508 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63508
Accession (UniProt):
B7HDQ5
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus cereus (strain B4264)

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 B7HDQ5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B7HDQ5|CINA_BACC4 Putative competence-damage inducible protein OS=Bacillus cereus (strain B4264) OX=405532 GN=cinA PE=3 SV=1 MNAEIIAVGTELLLGQIANTNAQFLSEKLASIGINVYYHTVVGDNNKRLQKAIEAAEERADILIFTGGLGPTKDDLTKETIATSLDEELVYDEKALALISNYFKRTGREFTENNKKQALVLNGATVFANDHGMAPGMGVNKNEKVYILLPGPPKEMKPMYVSYVEPFLRNFTTGENIYSRVLRFFGIGESQLEVKVQDLIDGQTNPTIAPLANDGEVTLRLTAKHQNVSEAEKLIQHVEDLILERVGEFFYGYDQEFLHYKAIELLKRKGLTLACAESLTGGLFGNQVTENAGVSSVFKGGVICYHNDVKQHVLRVPEEVLHTDGAVSKECARYLAENVKDVLKADIGISFTGVAGPDASEQKEPGTVFVGLSIKDEPTVVFPLNLSGSRQQIRERTAKYGFYHLYKKLEEI