B0K9N3 AF NFT

Putative competence-damage inducible protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifvjx7il44ruztnc73qsbwu5xochdx4hgwqqt6qherll6ckitbe4q/metadata.json
IPFS of structure file: 
bafybeicn56cihzhgdl62fyy4uldqucpoh6ev3snvbjwukns5e3xb672nau/AF-B0K9N3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbDA05C32aD6eE153C8C5A78dfa48d7Ba25694fea
First NFT owner address (bech32): 
genesis1hks9cv4ddms48jx957xl5jxhhgjkjnl2ggp9vq
Current NFT ID #63607 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
63607
Accession (UniProt):
B0K9N3
Name::
Putative competence-damage inducible protein
Experimental Method:
Predicted structure
Sequence source:
Thermoanaerobacter pseudethanolicus (strain ATCC 33223 / 39E)

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 B0K9N3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B0K9N3|CINA_THEP3 Putative competence-damage inducible protein OS=Thermoanaerobacter pseudethanolicus (strain ATCC 33223 / 39E) OX=340099 GN=cinA PE=3 SV=1 MRGEIISVGTELLLGQILNTNAKYLSEKLALLGIDIYFHTNVGDNEERLKECLNIAFNRSDLIITTGGLGPTVDDITKETVASFLGLPLVENIEAKEEIIRFFEKIGQTPTMNNFKQAFFPEGAKILPNKNGTAPGCIIEKDNKIIIILPGPPSELIPMFEESVYPYLKSKTNETIKSRVIKIFGLGESKVEEMVKPLLFNSNPTVAPLVGDGYVTLRITAKGHDDKEILEMIEDMESRIRGIIGDYIYAVDEEEMEEVVIKLLQKNKLTLAVSESCTGGLLAKKITDVSGASKVFNLGVVSYSNEAKENILGVRKSTLESYGAVSHETAKEMAENIRKLANADFGLSTTGIAGPTGGTPEKPVGLVYVGFATNEKVYVKKLMLSGDRSKIRTRTVLHALDIVRRYLLGIKID