Q5M6H3 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibnip56nrrynegvjc4o2fpuxay66v5gwqvnppx2dlyit77w554ezm/metadata.json
IPFS of structure file: 
bafybeibren7bekt26o7crbb6i3euxhn5dfnffup4jfwt4sizeuq4x4jgce/AF-Q5M6H3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x1ED4a68B4011314730adE976b56Ad4cA21b54dcD
First NFT owner address (bech32): 
genesis1rm22dz6qzyc5wv9da9mt26k5egsm2nwdw6hzk8
Current NFT ID #63600 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63600
Accession (UniProt):
Q5M6H3
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS THERMOPHILUS (STRAIN ATCC BAA-250 / LMG 18311)

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 Q5M6H3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5M6H3|CINA_STRT2 Putative competence-damage inducible protein OS=Streptococcus thermophilus (strain ATCC BAA-250 / LMG 18311) OX=264199 GN=cinA PE=3 SV=1 MKAELIAVGTEILTGQITNTNAQFLSEKLAELGIDVYFHTAVGDNENRLLSVLDQSSKRSDLVILCGGLGPTEDDLTKQTLAKFLGKELIFDEEASKKLDSFFATRPKHTRTPNNERQAQIVEGAVPLQNLTGLAVGGIITVEGVTYVVLPGPPSELKPMVNQELIPALTENHTTLYSRVLRFFGVGESQLVTIIKDLIVNQTDPTIAPYAKVGEVTLRLSTKASSQEEADRKLDVLEEQIRSTKTLDGKSLSDLIYGYGESNSLAYEVFYLLKKYGKTITAAESLTAGLFQASVADFPGASQVFKGGFVTYSMEEKAKMLDIPLSKLEEHGVVSHFTAEKMAEGARVKTDSDYGIALTGVAGPDALEGHQAGTVFIGIADRNQVRSIKVVIGGRSRSDVRYISTLYAFNLVRQALLQEDNSI