Q3JYN0 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicn3bu6urps5u2qyr4x4ugwtfn2pcal5twl3tfbry3qx7p5chmr6y/metadata.json
IPFS of structure file: 
bafybeieg5x6xfsvvgzvueq7bbei3lbulelpin32lfeeexiis5v7bnffkoy/AF-Q3JYN0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x55EE9d3280E100576951AAA82E940c26C2931E2E
First NFT owner address (bech32): 
genesis12hhf6v5quyq9w623425za9qvympfx83we3plkq
Current NFT ID #63569 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63569
Accession (UniProt):
Q3JYN0
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Streptococcus agalactiae serotype Ia (strain ATCC 27591 / A909 / CDC SS700)

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 Q3JYN0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3JYN0|CINA_STRA1 Putative competence-damage inducible protein OS=Streptococcus agalactiae serotype Ia (strain ATCC 27591 / A909 / CDC SS700) OX=205921 GN=cinA PE=3 SV=1 MRAEIIAVGTEILTGQIVNTNAQFLSEKMAELGIDIYFQTAVGDNEERLLSLLDIASQRSQLVILCGGLGPTEDDLTKQTLAKFLGKSLTVDLLASQKLDRFFASRPQFARTPNNERQAQLVEGSIPLQNLTGLAVGGIVTSKGVQYMVLPGPPSELNPMVMEQVVPILSNNGTKLYSRVLRFFGIGESQLVTILEDIIKNQTDPTIAPYAKVGEVTLRLSTKAENQDEADFKLDSLEKEILALKTLDNRKLKDLLYGYGDNNSMARTVLELLKVQNKTITAAESLTAGLFQSQLAEFSGASQVFNGGFTTYSMEAKSQLLGIPKKKLQEYGVISHFTAEAMAQQARQLLKADFGIGLTGVAGPDELEGYPAGTVFIGIATPEGVSSIKVSIGGKSRSDVRHISTLHAFDLVRRALLKI