Q65JF3 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigsmxrergeomjy7skxvr3gqocjgytjkl4cfu7gaoqrmg5eggt36xy/metadata.json
IPFS of structure file: 
bafybeieflti46slw5xdq4xuu32g5hx7s2qxwgj4q2afvxyo6xy5b7l5qza/AF-Q65JF3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x665CBc036828f0545913b4B24EA0229BB1e4F3f2
First NFT owner address (bech32): 
genesis1vewtcqmg9rc9gkgnkjeyagpznwc7fulj3rvrxp
Current NFT ID #63515 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63515
Accession (UniProt):
Q65JF3
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46)

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 Q65JF3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q65JF3|CINA_BACLD Putative competence-damage inducible protein OS=Bacillus licheniformis (strain ATCC 14580 / DSM 13 / JCM 2505 / CCUG 7422 / NBRC 12200 / NCIMB 9375 / NCTC 10341 / NRRL NRS-1264 / Gibson 46) OX=279010 GN=cinA PE=3 SV=1 MKLERKAEIIAVGSELLLGQIVNTNAQFISRHLAEIGINVFYHTAVGDNPERLKQVIQTAQQRSDFIIFSGGLGPTKDDLTKETIAEVVGRPLKLDDEAFESIQDYFKKTNREMSPNNRKQALILEGSDVLPNRFGMAPGMLLEHESRFYMLLPGPPKELEPMFENEAKPLILEKLGSREKIVSRVLRFFGIGESQLETDLEDLIDAQTNPTIAPLAADGEVTLRLTAKHADPEETNRLLKETEDRILERVGEFFYGYDDTSLAEELAKACRSKGMTLAAAESFTGGLFSSWLTEMSGASEYFKGGAVCYTNELKVSAAGVSEDTLQRYGAVSAQCAKELAAGIRVKTGSDIGISFTGVAGPNTQEGHPAGKVFIGISVKDQAEEAFEFQFAGSRSAVRKRSAKYGCHLLLKMMEK