Q499A3 AF NFT

Protein kintoun

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibrmkgvjbss6jvh6sruiaicb2uqeumqssa7gooue7dy7xu4p6nnbm/metadata.json
IPFS of structure file: 
bafybeid4yvmeh4mdciuplbpw66nnwpqnivf446skijmvtptres5g463coe/AF-Q499A3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf8D5B1BD340FcF603A2a7d91f06AE411632c4809
First NFT owner address (bech32): 
genesis1lr2mr0f5pl8kqw320kglq6hyz93jcjqfzz068a
Current NFT ID #206034 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
206034
Accession (UniProt):
Q499A3
Name::
Protein kintoun
Experimental Method:
Predicted structure
Sequence source:
DANIO RERIO

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 Q499A3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q499A3|KTU_DANRE Protein kintoun OS=Danio rerio OX=7955 GN=dnaaf2 PE=2 SV=1 MDADRLAELQLTRAEMRRIGEALQDRRFRELLTEYVEEISSPENRRRYEEEIRRLEEERGAAVQFIHPTPHHVLKGRGPSGKCFINICSDQLIEKPRSEAATDDRGRSGHSWRIPYSLTPGRAGRDAAGAPCVLFDAVFHPDALLMAENNARFMTLIHRTATGGIQDNFRIRLEHVTRLKMMKYKGEPQPTMIRRPNPGQTEAADRGPQQTTGPQQPTGPQQPTDPQQPTDTQQPTDPQQTTGPQQTTGPQQTTGPHQPTDPQQTTGPQQPTDPQQPTGPHQPTDPQQTTDPPPTAPQYRLKYRSVLDLQDYRCCRDSGSAGRPTAIIIEVEVPRLRSAQEAELRVEERRLLLEAPTAEYRLELPLAYPVEEERAEAQFNHTHRLLTVTLPVLKRRRVEEEERRAEEEESRKGGDEDGELHPDCGPDPPMMELQTEDTHTPAADTHTPAADTHTPAADTHTPAAETGAGLGSGVALLSSSNVISVCGADVHQQLEEPGDPSAHTDPADTHPADTDPADTDPAHTDPADTDPADTDPAHTDPAHTDPEMESRIAGLHLQNTLCFQLD