Q9KUS3 Protein ApaG MolNFT, Molecular NFT on GenesisL1

Protein ApaG

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeihdkcowyrmik7ki574ty54zymca3wac77zm3x4mxvlxio3plkpt6y/metadata.json

IPFS of structure file:

bafybeia32sfd2f3wlegg6og53ahbx47m2iilv5wnmseggpplqud737nfsm/AF-Q9KUS3-F1-model_v2.pdb

First NFT owner address (eip-55):

0xD0f9B7bFD62aab6d4A30D170A574DcF201F3f893

First NFT owner address (bech32):

genesis16rum007k924k6j3s69c22axu7gql87ynjp8475

Current NFT ID #17632 owner (web3):

0x6d739c6BE1b8DC17AebEBf1f98C5B46AFAFd54E3

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
17632
Accession (UniProt):
Q9KUS3
Name::
Protein ApaG
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN ATCC 39315 / EL TOR INABA N16961)

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 Q9KUS3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KUS3|APAG_VIBCH Protein ApaG OS=Vibrio cholerae serotype O1 (strain ATCC 39315 / El Tor Inaba N16961) OX=243277 GN=apaG PE=1 SV=1 MDVSLPCIKIQVQTRYIEEQSNPEYQRFVFAYLITIKNLSSQTVQLMSRRWLITDADGKQTVVEGDGVVGEQPRIKANDEYTYSSGTALDTPVGVMQGQYLMIDEQGESFTVEIEPFRLAVPHVLN

Q9KUS3 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q9KUS3 research and analysis (ICN3D with VR)

FASTA sequences

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