B8DFT0 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiarbswsv3civ7xfz2otetkgnjuih3ljayjww2m5fhl7dztt5iauwu/metadata.json
IPFS of structure file: 
bafybeibzbxuqb3r2jpejsij64widwfooagngz2ti5dxgztjlsggwcloqje/AF-B8DFT0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9188600a0FCa2914254C94299b1bd9721Bc4D500
First NFT owner address (bech32): 
genesis1jxyxqzs0eg53gf2vjs5ekx7ewgduf4gquehckf
Current NFT ID #63559 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63559
Accession (UniProt):
B8DFT0
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Listeria monocytogenes serotype 4a (strain HCC23)

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 B8DFT0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B8DFT0|CINA_LISMH Putative competence-damage inducible protein OS=Listeria monocytogenes serotype 4a (strain HCC23) OX=552536 GN=cinA PE=3 SV=1 MASAEIIAVGTELLLGQIVNSNAAFISQELAADGIYVYHHTVVGDNPARLKEVIEIAENRSDILIFTGGLGPTEDDITKQILAAHLQKQLVEDEYHMNKINEYFTSRNRAMTENNKLQAVIIEDSIVLNNDFGFAAGMYLRENNHTYVLLPGPPSEMKPMFTSYANPLLLSESGDQNILESKIMRFFGIGESQLAADLNDLIVTQVNPTIATYAGDNEVVVRITATAKTKEEASRLVKDTEEEILRRDGTFLYGYGEVSLSELVTAMLLEKELTISAAESFTAGLFQAEIARFPGISKIFKGGMVTYSEETKQSILQVSPQVIKEKGVVSAECAKEMAENVSRLCKTDIGISFTGVAGPDSLEGHPAGTIWIGLSVKGYETEAFQFVYGRDRNHNRRRAVKQGFQLIKQFLDAN