Q9KGG0 DNA integrity scanning protein DisA MolNFT, Molecular NFT on GenesisL1

DNA integrity scanning protein DisA

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeifldqhekeliveqic3a2monqsjdholoi5vcwfbbya22avua5fkhoei/metadata.json

IPFS of structure file:

bafybeibwmf6xin2gj2nijerpnmg4hgm3h3dkc4uo3o6osmu4hd7ysppkd4/AF-Q9KGG0-F1-model_v2.pdb

First NFT owner address (eip-55):

0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152

First NFT owner address (bech32):

genesis1gzuun40ssnf56qnwn4wazpgp4n0k6c2jdg88yn

Current NFT ID #98393 owner (web3):

0x40B9C9d5F084D34d026E9d5Dd10501AcdF6d6152

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
98393
Accession (UniProt):
Q9KGG0
Name::
DNA integrity scanning protein DisA
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9KGG0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KGG0|DISA_ALKHC DNA integrity scanning protein DisA OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=disA PE=3 SV=1 MDSEVKERFARNILKMVAPGTALRTGIDNVLRAKTGGLIVLGYNENMKGIVDGGFYLDCPFSPASLYELAKMDGAIILNEDGTKILYANTQLNPDNAISSNETGIRHRTAERVAKQTGNLVISISQRRNVITLYHGHLRYALRDIGVILTKANQAIQTLDKYKSVLDQDITDLGALEFEELVTFHEVSQVMQRIHMVLNIKGEILNYVNELGSEGRLITMQLNELVSNLEKEVLLLIQDYAKEDDVDPEDVLEQMMKCSNEELLDDSNILKLLGYHKAFNVQEQQATPRGYRILHKIPRLPATIVRNLVHSFENINDMLRADLKELDEVEGIGEARAKLIKDGLSRIQEQLFMDRNI

Q9KGG0 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9KGG0 research and analysis (ICN3D with VR)

FASTA sequences

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