Q71ZS3 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicy2go5v7yjoinylsa57ugdegshzcwsd6uqk4pjvszxvklvimfcdy/metadata.json
IPFS of structure file: 
bafybeig2nkzxh63j4d4fbp3jaqg5lgnemlrpwyenbfvw6xdykd6fe3bezu/AF-Q71ZS3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x22c3Ca87f200b90eA736Db68c0123ECEc125b25E
First NFT owner address (bech32): 
genesis1ytpu4pljqzusafekmd5vqy37emqjtvj7hmw272
Current NFT ID #63558 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63558
Accession (UniProt):
Q71ZS3
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Listeria monocytogenes serotype 4b (strain F2365)

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 Q71ZS3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q71ZS3|CINA_LISMF Putative competence-damage inducible protein OS=Listeria monocytogenes serotype 4b (strain F2365) OX=265669 GN=cinA PE=3 SV=1 MASAEIIAVGTELLLGQIVNSNAAFISQELAADGIYVYHHTVVGDNPTRLKEVIEIAENRSDILIFTGGLGPTEDDITKQILAAHLQKQLVEDEYHMNKINEYFTSRNRTMTENNKLQAVIIEDSIVLNNDFGFAAGMYLRENNHTYVLLPGPPSEMKPMFTSYANPLLLSESGDQNILESKIMRFFGIGESQLAADLNDLIVTQVNPTIATYAGDNEVVVRITATAKTKEEASRLVKETEEEILRREGTFLYGYGEVSLSELVTAMLLEKELTISAAESFTAGLFQAEIARFPGISKIFKGGMVTYSEETKQSILQVSPQVIKEKGVVSAECAKEMAENVSRLCKTDIGISFTGVAGPDSLEGHPAGTIWIGLSVKGYETEAFQFVYGRDRNHNRRRAVKQGFQLIKQFLDAN