Q5M5B9 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigjx53dhuhy4h5kisgr2jpiwiooabmvqfbycclsk7gglq7sito524/metadata.json
IPFS of structure file: 
bafybeies3jmh53g2yg7pdpaoyrv4vkjoobx2q4j7fn35cmd6osb2eaeduu/AF-Q5M5B9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8216949dDEF9EaDBdB1a9037895912E009a911AA
First NFT owner address (bech32): 
genesis1sgtff8w7l84dhkc6jqmcjkgjuqy6jyd26nadhw
Current NFT ID #454699 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454699
Accession (UniProt):
Q5M5B9
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS THERMOPHILUS (STRAIN ATCC BAA-250 / LMG 18311)

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 Q5M5B9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5M5B9|SYT_STRT2 Threonine--tRNA ligase OS=Streptococcus thermophilus (strain ATCC BAA-250 / LMG 18311) OX=264199 GN=thrS PE=3 SV=1 MINITFPDGAVREFESGVTTFEIAQSISNSLAKKALAGKFNGKLIDTTRVITEDGSIEIVTPDHEDALPILRHSAAHLFAQAARRLFPDIHLGVGPAIEDGFYYDTDNQAGQISNEDLPRIEEEMKKIVKENFPSIREEVTKDEAREIFKNDPYKLELIEEHSEDDGGLTIYRQGEYVDLCRGPHVPSTGRIQIFHLLNVAGAYWRGNSDNAMMQRIYGTAWFDKKDLKAYLKRLEEAKERDHRKLGKELDLFMISQEVGQGLPFWLPNGATIRRELERYIVDKEVAAGYQHVYTPPIASVELYKTSGHWDHYREDMFPPMDMGDGEEFVLRPMNCPHHIEVYKHHVHSYRELPIRIAEIGMMHRYEKSGALTGLQRVREMSLNDGHTFVAPEQIEEEFKKILQLIIDVYEDFNLTDYRFRLSYRDPADKHKYFDNDEMWENAQRMLKAAVDDMGVEYYEAEGEAAFYGPKLDIQVKTALGKEETLSTIQLDFLLPERFDLHYIGADGEEHRPVMIHRGVISTMERFTAILIENYKGAFPTWLAPHQVTLIPVSNEKHVDYAWEVAKKLRDRGVRAEVDERNEKMQFKIRASQTQKIPYQLIVGDKEMKDGTVNVRRYGQKQTHTETVSEFVENILADIARKSRPDAE