B2IM29 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihyvzpcvki4io4mlcvjd3t2vbxohuqqmv3s35pvbarkirrse2v5zm/metadata.json
IPFS of structure file: 
bafybeifdtnc2kfjgc6sb2mg7aod7ej3l7xxb2b32ptu4txiilwioag2774/AF-B2IM29-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x769063e6fD12eaBbc955d6025BD35BF88Ab86D4D
First NFT owner address (bech32): 
genesis1w6gx8ehazt4thj246cp9h56mlz9tsm2dmu5grh
Current NFT ID #63593 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63593
Accession (UniProt):
B2IM29
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Streptococcus pneumoniae (strain CGSP14)

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 B2IM29 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B2IM29|CINA_STRPS Putative competence-damage inducible protein OS=Streptococcus pneumoniae (strain CGSP14) OX=516950 GN=cinA PE=3 SV=1 MKAEIIAVGTEILTGQIVNTNAQFLSEKLAEIGVDVYFQTAVGDNEVRLLSLLEIASQRSSLVILTGGLGPTEDDLTKQTLAKFLGKALVFDPQAQEKLDIFFALRPDYARTPNNERQAQIVEGAIPLPNETGLAVGGKLEVDGVTYVVLPGPPSELKPMVLNQLLPKLMTGSKLYSRVLRFFGIGESQLVTILADLIDNQIDPTLAPYAKTGEVTLRLSTKASSQEEANQALDILENQILDCQTFEGISLRDFCYGYGEETSLASIVVEELKRQGKTIAAAESLTAGLFQATVTNFSEVSSIFKSGFVTYSLEEKSRMLDIPAKNLEEHGVVSEFTAQKMAEQARSKTQSDFGISLTGVAGPDSLEGHPVGTVFIGLAQEQGTEVIKVNIGGRSRADVRHIAVMHAFNLVRKALLSD