Q1ECX4 AF NFT

Serine/threonine-protein kinase tousled-like 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeih45f63wdfod4tdpk4m5bti5tfozatelgq7zyd7lfk7cktyqvhmaq/metadata.json
IPFS of structure file: 
bafybeifa2gwhcin5nx7zxzhbjm6mr6efioty5qmj7hf5nhgad3u7csvchi/AF-Q1ECX4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x0a518D7f85eD490B16cdD47CeC359Ccb050F802E
First NFT owner address (bech32): 
genesis1pfgc6lu9a4ysk9kd637wcdvuevzslqpwg9q2ut
Current NFT ID #467417 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
467417
Accession (UniProt):
Q1ECX4
Name::
Serine/threonine-protein kinase tousled-like 2
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 Q1ECX4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1ECX4|TLK2_DANRE Serine/threonine-protein kinase tousled-like 2 OS=Danio rerio OX=7955 GN=tlk2 PE=2 SV=2 MMEELHSLDPRRQELLEARFTGVGVAKGSGHNESSNQSLCSVGSLSDKELETPEKKSNDQRTRKRKGDPFDSQGKGGGRGHKISDYFEFAGGSGTGTSPARGIPPVARSSPQHSLSNPPAAVQQGSPSSISSVNTDHSHTSTSHKPASIHTQHRASQSELTMEKLAALESSKSSDLEKKEGRIDDLLRVNCDLRRQIDEQQKMLEWCKERLNKCVTMSKKLLIEKSKQEKIACREKSMQDRLRLGHFTTVRHGASFTEQWTDGYAFQNLVKQQERVNGQREEIERQRKLLIKKKPPSASQTPPPNLEPNKRKSKSNGAENEMLSLAEYHEQEEIFKLRLGHLKKEEAEIQVELERLERVRNLHIRELKRIHNEDNSQFKDHPTLNDRYLLLHLLGRGGFSEVYKAFDLTEQRYVAVKIHQLNKNWRDEKKENYHKHACREYRIHKELDHPRIVKLYDYFSLDTDSFCTVLEYCEGNDLDFYLKQHKLMSEKEARSIIMQVVNALKYLNEIRPPIIHYDLKPGNILLVNGTACGEIKITDFGLSKIMDDDNYGVDGMELTSQGAGTYWYLPPECFVVGKEPPKISNKVDVWSVGVIFYQCLYGKKPFGHNQSQQDILQENTILKATEVQFPPKPGVSPEAKAFIRRCLVYRKEDRIDVHQLASDPYLLPHIRKSVAATGNSSMAVASTSNSSNSSASN