Q67NW5 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibvyggjenaemwg6ep3oc6t3moj3hg64tz5dv6aaof4ojalpmdl25a/metadata.json
IPFS of structure file: 
bafybeidirc7um4iaweqhlghlqeox7gfkm6z5udnsvooim3u2i3ye5d3pom/AF-Q67NW5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9073C46348542FfE4327c3F363F9B51B22058e75
First NFT owner address (bech32): 
genesis1jpeugc6g2shluse8c0ek87d4rv3qtrn44vl0u5
Current NFT ID #63606 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63606
Accession (UniProt):
Q67NW5
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
SYMBIOBACTERIUM THERMOPHILUM (STRAIN T / IAM 14863)

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 Q67NW5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q67NW5|CINA_SYMTH Putative competence-damage inducible protein OS=Symbiobacterium thermophilum (strain T / IAM 14863) OX=292459 GN=cinA PE=3 SV=1 MIAELVFVGTELLLGEILNTNAQYLSRQLAQLGVDVYHQVVVGDNAARLRAVLSQALSRSDLVIASGGLGPTDDDITREVAAEVTGRPLELDPQLLAQLEIWFARRGRRMAENNRRQCMVPRGARVLPNDRGTAPGLMIPADGDKVVILLPGPPGELRPMFEAHVAPYLAARSGGRPLRLVTRTLRFVGIGESALADGLRDLMATQTDPTIAPYAKVAEVHLRLATRAADEAEGYARIAPLEAEIRSRFGRFLYGSDEETLPQAVGRLLAERGMTLSTAESCTGGLVAKWITDVPGSSRYFGTGFVTYANEAKVSLLGVPEELLSAHGAVSEPVARAMAEGALQRSGADVAVAVSGIAGPDGGTPEKPVGTVCFALAGRGRQGGGPLPAGTWAETLWLHGDRDGVRERAAVHALAMVRRYLLGYLD