Q04IM5 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeif63ivngkeelfb7a6z6cf6tdol7u4vkb3gz45tcs6x74kmoa5ua54/metadata.json
IPFS of structure file: 
bafybeiei7gxvmcqmwonxd5hxlqc57wrw4567355fl7pq7tsqhjblmof7wm/AF-Q04IM5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3e5a37E480b8dCe8027d16fD44855E730531Fc50
First NFT owner address (bech32): 
genesis18edr0eyqhrwwsqnazm75fp27wvznrlzsuvujyv
Current NFT ID #63577 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
63577
Accession (UniProt):
Q04IM5
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PNEUMONIAE SEROTYPE 2 (STRAIN D39 / NCTC 7466)

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 Q04IM5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q04IM5|CINA_STRP2 Putative competence-damage inducible protein OS=Streptococcus pneumoniae serotype 2 (strain D39 / NCTC 7466) OX=373153 GN=cinA PE=3 SV=1 MKAEIIAVGTEILTGQIVNTNAQFLSEKLAEIGVDVYFQTAVGDNEVRLLSLLEIASQRSSLVILTGGLGATEDDLTKQTLAKFLGKALVFDPQAQEKLDIFFALRPDYARTPNNERQVQIVEGAIPLPNETGLAVGGKLEVDGVTYVVLPGPPSELKPMVLNQLLPKLMTGSKLYSRVLRFFGIGESQLVTILADLIDNQIDPTLAPYAKTGEVTLRLSTKASSQEEANQALDILENQILDCQTFEGISLRDFCYGYGEETSLASIVVEELKRQGKTIAAAESLTAGLFQATVANFSGVSSIFEGGFVTYSLEEKSRMLDIPAKNLEEHGVVSEFTAQKMAEQARSKTQSDFGISLTGVAGPDSLEGHPVGTVFIGLAQDQGTEVIKVNIGGRSRADVRHIAVMHAFNLVRKALLSD