Q8UEL1 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifxqh2hdpr4zh5b2gj6n3gjnnebtu67q7j6xvw4dvlq2eoexyruzq/metadata.json
IPFS of structure file: 
bafybeidluuamuotryufjyityzh7kqqfbckavmmyueogr3vibbsevggql6q/AF-Q8UEL1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x72bB5e004C63E96c37EcA6C9EafAe518f04aEe94
First NFT owner address (bech32): 
genesis1w2a4uqzvv05kcdlv5my747h9rrcy4m55c0zyzm
Current NFT ID #454138 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454138
Accession (UniProt):
Q8UEL1
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
AGROBACTERIUM FABRUM (STRAIN C58 / ATCC 33970)

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 Q8UEL1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8UEL1|SYT_AGRFC Threonine--tRNA ligase OS=Agrobacterium fabrum (strain C58 / ATCC 33970) OX=176299 GN=thrS PE=3 SV=1 MSEAISLTFPDGSVRSYPAGTTGREVAESISKSLAKKAVAIALDGTVRDLSETITDGKIEIVTREDGRALELIRHDAAHVMAEAVQELWPGTQVTIGPVIENGFYYDFAKNEPFTPEDLPKIEKRMKEIIQRNKPFTREIWSREKAKEVFAAKGENYKVELVDAIPEGQDLKIYYQGDWFDLCRGPHMASTGQIGTAFKLMKVAGAYWRGDSNNAMLSRIYGTAWATQEELDNYLHVLAEAEKRDHRRLGREMDLFHFQEEGPGVVFWHGKGWRMFQTLTAYMRRRLANTYQEVNAPQVLDKSLWETSGHWGWYQENMFAVKSAHAFTHPDDKEADQRVFALKPMNCPGHVQIFKHGLKSYREMPVRLAEFGNVHRYEASGALHGLMRVRGFTQDDAHVFCTEEQMAAECLRINDLILSVYEDFGFSEIVVKLSTRPEKRVGSDDLWDRAESVMLEVLKTIEEQSGGRIKTGILPGEGAFYGPKFEYTLKDAIGREWQCGTTQVDFNLPERFGAFYIDQNSEKTQPVMIHRAICGSMERFLGILIENFAGHMPLWFAPLQVVVATITSDADDYGREVAEALREAGMAVETDFRNEKINYKVREHSVTKVPVIIVCGRKEAEERTVNIRRLGSQNQTSMSLEEAITSLVDEATPPDVKRKLAAKKQLA