Q86CS2 AF NFT

Serine/threonine-protein kinase atg1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifwbac55blhndotqvkfvz32j7fwa22i5n5csht7bjme73eezuxzm4/metadata.json
IPFS of structure file: 
bafybeibjl2x3n6xow5vkz7ouxtsxonqkjjuoyasnx67d2ojks5mgtxmczq/AF-Q86CS2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x769063e6fD12eaBbc955d6025BD35BF88Ab86D4D
First NFT owner address (bech32): 
genesis1w6gx8ehazt4thj246cp9h56mlz9tsm2dmu5grh
Current NFT ID #31120 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
31120
Accession (UniProt):
Q86CS2
Name::
Serine/threonine-protein kinase atg1
Experimental Method:
Predicted structure
Sequence source:
DICTYOSTELIUM DISCOIDEUM

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 Q86CS2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q86CS2|ATG1_DICDI Serine/threonine-protein kinase atg1 OS=Dictyostelium discoideum OX=44689 GN=atg1 PE=3 SV=1 MKRVGDYILDKRIGWGAFAQVYKGFSIKTNEPFAIKVVDVCRLADKNSKLTENLNYEIRILKELSHTNIVRLYDVLNEETDPTFIYMIMECCEGGDFSKYIRTHKKLTEEKALYFMKQLANGLKFLRQKQIVHRDLKPQNLLLSDDSEHPILKIGDFGFAKFIDPFSLSDTFCGSPLYMAPEILHRKNYTVKADLWSVGIILYEMLVGEPAYNSGSVPDLLNQLQNKKIKLPSHISSDCQNLIYSLLQIDVEKRISWEDFFNHKWLNLNNNDSYKNNSGNYFNNNNINNNNNNNTNNNNNNISYPISINSNNTNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNYYNNNNSPPNVYHASSLPYDFNNNNNNNNSNNYNNNTNVPNSLPFAYNNNIYSSPTEAIPQPTTLNKSKSLENTGNTIRAHPFKDDKKSTTIQQPQQQQQQQQQQQQQQQQQQQQQQQQQQQNRQLSNLSTDFERDLVILDGEELESMERVFNRAVAIAELGDLRQNEPLECVPLYILALKLMKSKIPNDPSSSPDKFINTFTEYKRKLVHIFSTSNTSVKNQDHHSSFSPNRFIYENALEFGKKGAVEELYNNYPTSLQFYTDGTLLLEYLSSIVIDSDDQEIIKKYLNAFEVRTQICKKNYENSKNTVLNTNSIQNNT