Q5R5P3 AF NFT

Threonine synthase-like 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeided7hufjubwf4brn7ipwlahaz3ddiaihht4kttrumcojrc7p7mr4/metadata.json
IPFS of structure file: 
bafybeibrjqj5hfkoaai557xv3oj777tfzfa7fchjjnmbnaxxcr2ypz4xhi/AF-Q5R5P3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xEFAD4000e8E7465Fb4Fef4E07461d1cb5cdD8b3C
First NFT owner address (bech32): 
genesis1a7k5qq8guar9ld877ns8gcw3edwdmzeufwvx48
Current NFT ID #465023 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
465023
Accession (UniProt):
Q5R5P3
Name::
Threonine synthase-like 1
Experimental Method:
Predicted structure
Sequence source:
Pongo abelii

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 Q5R5P3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5R5P3|THNS1_PONAB Threonine synthase-like 1 OS=Pongo abelii OX=9601 GN=THNSL1 PE=2 SV=1 MLHFNRCHHLKKITQKCFSSIHVKTDKHAQQFLSRTFALAELRKSWYSTHSLVGDKNIILMGPPGAGKTTVGRIIGQKLGCCVIDVDDDILEKTWNMSVSEKLQDVGNEQFLEEEGKAVLNFSASGSVISLTGSNPMHDASMWHLKKNGIIVYLDVPLLDLIHRLKLMKTDRIVGQNSGTSVKDLLKFRRQYYKKWYDARVFCESGASPEEVADKVLNAIKRYQDVDSETFISTRHVWPKDGEQKLSAKFFSEAVIEGLASDGGLFVPAKEFPKLSCGEWKSLVGATYIERAQILLERCIHPADIPAARLGEMIETAYGENFACSKIAPVRHLSGNQFILELFHGPTGSFKDLSLQLMPHIFAHCIPPSCNYVILVATSGDTGSAVLNGFSRLNKNDKQRIAVVAFFPENGVSDFQKAQIIGSQRENGWAVGVESDFDFCQTAIKRIFDDSDFTGFLTVEYGTILSSANSINWGRLLPQVVYHASAYLDLISQGFISFGSPVDVCIPTGNFGNILAAVYAKMMGIPIRKFICASNQNHVLTDFIKTGHYDLRERKLAQTFSPSIDILKSSNLERHLHLMANKDGQLMTELFNRLESQHHFQIEKALVEKLQQDFIADWCSEGECLAAINSTYNTSGYILDPHTAVAKVVADRVQDKSCPLIISSTAHYSKFAPAIMQALKIKEINETSSSQLYLLGSYNALPPLHEALLERTKQQEKMEYQVCAADVNVLKSHVEKLIQNQFI