Q17017 AF NFT

Probable fatty acid-binding protein

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicmqywessp54opjinr53a36dcs4lj4q7xka32o4jsbwb6jtm5oyau/metadata.json
IPFS of structure file: 
bafybeigiuhwshlvdysl52vn6mjt25qj3xh2umq4ptxcba6cxvznjmjclzq/AF-Q17017-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x45c0Ec32B09adb915b7685B3d9063C89E41866C1
First NFT owner address (bech32): 
genesis1ghqwcv4sntdezkmkskeajp3u38jpsekpsy3u5k
Current NFT ID #124924 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
124924
Accession (UniProt):
Q17017
Name::
Probable fatty acid-binding protein
Experimental Method:
Predicted structure
Sequence source:
ANOPHELES GAMBIAE

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 Q17017 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q17017|FABP_ANOGA Probable fatty acid-binding protein OS=Anopheles gambiae OX=7165 GN=ENSANGG00000000821 PE=3 SV=2 MAVWEGKKYKMEKSEGFDDYMKALGVGMVLRKLGNSISPTVELVKNGDEYTFNTLSPSRTRRSSSSWAMEFDEETVDGRMVKSVCTFDGNKLIHEQKGEKRPRSCASSLPPI