Q169E2 AF NFT | MOLNFT bioinformatics, blockchain

GTPase Der

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeic2es2ky636vekw7bgmbold2zgpyhwtlciukeamkuxyftezg42apa/metadata.json

IPFS of structure file:

bafybeifk32zb3ulku7bygctdetgqnw22bdqta2i7pl2k7ewmcclzkiz54i/AF-Q169E2-F1-model_v2.pdb

First NFT owner address (eip-55):

0x80E4770D64c852Ea54fa095e4246B7F0d7647117

First NFT owner address (bech32):

genesis1srj8wrtyepfw5486p90yy34h7rtkgugh0c84m5

Current NFT ID #96060 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
96060
Accession (UniProt):
Q169E2
Name::
GTPase Der
Experimental Method:
Predicted structure
Sequence source:
ROSEOBACTER DENITRIFICANS (STRAIN ATCC 33942 / OCH 114)

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 Q169E2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q169E2|DER_ROSDO GTPase Der OS=Roseobacter denitrificans (strain ATCC 33942 / OCh 114) OX=375451 GN=der PE=3 SV=1 MSFTLAIVGRPNVGKSTLFNRLVGKRLALVDDQPGVTRDLREGAARLADLRFTVIDTAGLEDVTDDSLQGRMRRLTERAVDMADICLFMVDARVGITPTDLVFADILRKRAGHVVLAANKAEGAAADAGVIEAYSLGLGEPIRLSAEHGEGLNDLYTHLMPLADAYAERAAEDAPETDVALDEDSGDMEAALRMPTANKPLQVAVVGRPNAGKSTLVNQILGEDRLLTGPEAGITRDAISLRTDWVGPEGDVIPMRIFDTAGMRKKAKVQEKLEKLSVGDGLRAVKFAEVVVVLLDAAIPFEQQDLRIADLAEREGRAVVVAVNKWDIEENKQAKLNELRESFERLLPQLRGAPLVTVSARTGRGLDRLHKAVLRAYEVWNRRVTTAQLNRWLAGMLEAHPPPAPQGKRIKLRYMTQAKTRPPGFVVMCSHPDKVPDSYNRYLVNGLRLDFDMPGTPIRLWMRGQNDANPYKGRKKAPPSKLRKHTDGRRKD