A0AIJ9 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib4jwsuzuaptnaapulcskbmbg5cqrgfoerv7jp6tjqnkezl72ak3e/metadata.json
IPFS of structure file: 
bafybeigfyvyjbmpasppdjt4zfafbtrstep3anajrd5jjqgo7xm4jhldyea/AF-A0AIJ9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x97EfFf2d74994e28D3b69b1503Bd9c292B2Df480
First NFT owner address (bech32): 
genesis1jlhl7tt5n98z35aknv2s80vu9y4jmayqa9azdg
Current NFT ID #63561 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63561
Accession (UniProt):
A0AIJ9
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8)

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 A0AIJ9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A0AIJ9|CINA_LISW6 Putative competence-damage inducible protein OS=Listeria welshimeri serovar 6b (strain ATCC 35897 / DSM 20650 / CIP 8149 / NCTC 11857 / SLCC 5334 / V8) OX=386043 GN=cinA PE=3 SV=1 MASAEIIAVGTELLLGQIVNSNAAFISQELAADGIYVYHHTVVGDNPERLKEVIKIAENRSDILIFTGGLGPTEDDITKQILADHLNKRLVEDEFHMNKITEYFTSRSRKMTENNKLQAVIIEDSVVLNNDYGFAAGMYLKANKHTYILLPGPPSEMKPMFTSYANPLLVSENGEKIILESKIMRFFGIGESQLAADLNDLILNQVNPTLATYAGDNEVVVRITATASTKEKAAALVKDMEEEILRRDGTFLYGYGEVSLPEHVTAMLLERKMTIAAAESFTAGLFQAEIARFPGISSIFKGGMVTYSEEVKQSMLQVPAEVIEEHGVVSSECAKVMAENVRRLCDTDIGISFTGVAGPDSLEGHPAGTIWIGLSVKGNESEAFQYVYGRDRNHNRRRAVKQGFQLIKHFLETNK