Q03LP1 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibfzachbgd7cyiuqlfyyh2dbfkm7fywfsetg5s7g252zvvq53dbfy/metadata.json
IPFS of structure file: 
bafybeigvg2rrkocamli3xamcdrqencsnltw26hxrnlwxuptg24u2dix5bm/AF-Q03LP1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x75249d30F7d9193e8C1F209cF0E17e3Cef40D642
First NFT owner address (bech32): 
genesis1w5jf6v8hmyvnarqlyzw0pct78nh5p4jzcv7rtn
Current NFT ID #454700 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454700
Accession (UniProt):
Q03LP1
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS THERMOPHILUS (STRAIN ATCC BAA-491 / LMD-9)

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 Q03LP1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q03LP1|SYT_STRTD Threonine--tRNA ligase OS=Streptococcus thermophilus (strain ATCC BAA-491 / LMD-9) OX=322159 GN=thrS PE=3 SV=1 MINITFPDGAVREFESGVTTFEIAQSISNSLAKKALAGKFNGKLIDTTRVITEDGSIEIVTPDHEDALPILRHSAAHLFAQAARRLFPDIHLGVGPAIEDGFYYDTDNQAGQISNEDLPRIEEEMKKIVKENFPSIREEVTKDEAREIFKNDPYKLELIEEHSEDDGGLTIYRQGEYVDLCRGPHVPSTGRIQIFHLLNVAGAYWRGNSDNAMMQRIYGTAWFDKKDLKAYLKRLEEAKERDHRKLGKELDLFMISQEVGQGLPFWLPNGATIRRELERYIVDKEVAAGYQHVYTPPIASVELYKTSGHWDHYREDMFPPMDMGDGEEFVLRPMNCPHHIEVYKHHVHSYRELPIRIAEIGMMHRYEKSGALTGLQRVREMSLNDGHTFVAPEQIEEEFKKILQLIIDVYEDFNLTDYRFRLSYRDPADKHKYFDNDEMWENAQRMLKAAVDDMGVEYYEAEGEAAFYGPKLDIQVKTALGKEETLSTIQLDFLLPERFDLHYIGADGEEHRPVMIHRGVISTMERFTAILIENYKGAFPTWLAPHQVTLIPVSNEKHVDYAWEVAKKLRDRGVRAEVDERNEKMQFKIRASQTQKIPYQLIVGDKEMKDGTVNVRRYGQKQTHTETVSEFVENILADIARKSRPDAE