A6GY22 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieekkx34frxdle7ecfk5lv6dogtipazparzzpxqyg3umbgcygsdwq/metadata.json
IPFS of structure file: 
bafybeibd76g5xfpvcrpcy3urvrumtxu6vri57zlysy3rvnqqib3k7hd5mm/AF-A6GY22-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xa178cE677748B9f80A2a9921a7edc5C39EDB037A
First NFT owner address (bech32): 
genesis159uvuemhfzulsz32nys60mw9cw0dkqm6f3f4yp
Current NFT ID #454336 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454336
Accession (UniProt):
A6GY22
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Flavobacterium psychrophilum (strain ATCC 49511 / DSM 21280 / CIP 103535 / JIP02/86)

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 A6GY22 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6GY22|SYT_FLAPJ Threonine--tRNA ligase OS=Flavobacterium psychrophilum (strain ATCC 49511 / DSM 21280 / CIP 103535 / JIP02/86) OX=402612 GN=thrS PE=3 SV=1 MIKITLPDGSIKEFENGVTPMDVAKSISEGLARNVISAAFNNITVEISTELTTDGSLVLYTWNDKDGKKAFWHSTSHVMAQVLEEMYPGLKLTLGPAIDNGFYYDVDFGDTKIVEADFKKIESRILEISKEKHEFKLRPVTKADALELYKDNEYKFELISNLEDGTITFCDHATFTDLCRGGHIPNTGIIKAVKIMSIAGAYWRGDEKNKQLTRVYGTSFPKQKDLTDYLELLEEAKRRDHRKLGKELELFAFSQKVGQGLPLWLPKGAALRDRLEQFLKKAQKKGGYEQVVTPHIGQKELYVTSGHYAKYGADSFQPISTPTEGEEFLLKPMNCPHHCEIYNVRPWSYKDLPKRYAEFGTVYRYEQSGELHGLTRVRGFTQDDAHIFCTPDQLDEEFKKVIDLVLYVFGSLGFENFTAQISLRDKENRDKYIGSDENWEKAENAIINAARDKNLNTVVEYGEAAFYGPKLDFMVKDALGRSWQLGTIQVDYNLPERFELTYKGSDDQLHRPVMIHRAPFGSMERFIAILLEHTAGNFPLWLMPEQAIILCLSDKYEIYAKKVLNLLENHEIRALIDNRNESIGRKIRDAEMQKTPFMLIVGEEEEKNNTISIRRHGQEGKGNITVTIEEFARIVNDEISKTLKTFEV