Q95RG8 AF NFT

ARF GTPase-activating protein Git

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexw3ineu366kbboyydsy3unerukqw6gw7ry3ls5k4pvobeafh5f4/metadata.json
IPFS of structure file: 
bafybeic26rcllfu6vlnq6ys4byalhyzklhe3fzgaofkwjxmv5owjzx5ef4/AF-Q95RG8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x91A3Ff8006565B92Be90f7924A65De16701cc9fb
First NFT owner address (bech32): 
genesis1jx3llqqx2ede905s77fy5ew7zecpej0myhjndt
Current NFT ID #147465 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
147465
Accession (UniProt):
Q95RG8
Name::
ARF GTPase-activating protein Git
Experimental Method:
Predicted structure
Sequence source:
DROSOPHILA MELANOGASTER

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 Q95RG8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q95RG8|GIT_DROME ARF GTPase-activating protein Git OS=Drosophila melanogaster OX=7227 GN=Git PE=1 SV=1 MCFASSIIEAHRKLFIAPPDLDHSDPATPTISTRSKMPRGKSRLQTEVCGDCGAGDPSWASINRGILLCADCCSVHRSLGRHISIVKSLRQGNWEPSVLNFVNSLNAHGANSVWEHHLLDGSTNSTGGKHVPRWRKPTPKDALHPTKSDFIKAKHVNLTFVLKPSLQDDDDGNGSAGCLEQELSRQLHASVRTSNLETSLRFLVQGADPNYYHEDKLSTPLHMAAKFGQASQIEMLLIYGADVNALDGNGMTPLELARANNHNTIAERLLDAMYDVTDRIITFLGGKKPDHASGRHMIIPDANGADISEQLKIARGKLQLVPNKMFEELVMDLYDEVDRRECEAIWSTSTLNADHATVPFLPANPFLSATRNQGRQKLARFNRAEFTGLLTDVLVDAMRRQNMANLRPMDAPVAGHQSLQSLPYANNSMLLGSFEQGGHDPNLSDDEPIYDPVASDDDYAPVPPMAQQAIVHTPPRSANSHNEMETLRKQLNDYKSEINQLKNVVQMLSSENTQLKSKFSSASNNSVYDEPLRIDLSLSSPDTEHEPLSLPEGGTANGESGSSNDSSNQSTIKRPASMYERRLVPNVAKGNTDIRNTTSMYQMAGDGKPFGEEVKVRSDLVTRRLKELIRAMQPVPEDQKQSIAPHGELIRSAVTDLIALYANLPPNASDPSRETLKLLTRQNILIQHECENLQKAIEADDKQAIQKNTLEVRDCAFHIASAIKTLVLQFY