Q04JD7 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiexajgmr63dz6utronpz7koeyzlqrotxu6qxpynwqkuwxl7ie7wpy/metadata.json
IPFS of structure file: 
bafybeichdflbbkqiwyzj2wcvleg27sozh4iobuutzyoxtzzghvrj4hqroy/AF-Q04JD7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x8af20c751cd561e3F0B6141F3317c17894026A1c
First NFT owner address (bech32): 
genesis13teqcagu64s78u9kzs0nx97p0z2qy6su7p5adx
Current NFT ID #454676 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454676
Accession (UniProt):
Q04JD7
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS PNEUMONIAE SEROTYPE 2 (STRAIN D39 / NCTC 7466)

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 Q04JD7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q04JD7|SYT_STRP2 Threonine--tRNA ligase OS=Streptococcus pneumoniae serotype 2 (strain D39 / NCTC 7466) OX=373153 GN=thrS PE=3 SV=1 MINITFPDGAVREFESGVTTFEIAQSISNSLAKKALAGKFNGKLIDTTRAITEDGSIEIVTPDHEDALPILRHSATHLFAQAARRLFPDIHLGVGPAIEDGFYYDTDHTAGQISNEDLPRIEEEMQKIVKENFPSIREEVTKDEAREIFKNDPYKLELIEEHSEDEGGLTIYRQGEYVDLCRGPHVPSTGRIQIFHLLHVAGAYWRGNSDNAMMQRIYGTAWFDKKDLKNYLQMREEAKERDHRKLGKELDLFMISQEVGQGLPFWLPNGATIRRELERYIVNKELVSGYQHVYTPPLASVELYKTSGHWDHYQEDMFPTMDMGDGEEFVLRPMNCPHHIQVFKHHVHSYRELPIRIAEIGMMHRYEKSGALTGLQRVREMSLNDGHLFVTPEQIQEEFQRALQLIIDVYEDFNLTDYRFRLSLRDPQDTHKYFDNDEMWENAQTMLRAALDEMGVDYFEAEGEAAFYGPKLDIQIKTALGKEETLSTIQLDFLLPERFDLKYIGADGEDHRPVMIHRGVISTMERFTAILIENYKGAFPTWLAPHQVTLIPVSNEKHVDYAWEVAKKLRDRGVRADVDERNEKMQFKIRASQTSKIPYQLIVGDKEMEDETVNVRRYGQKETQTVSVDNFVQAILADIANKSRVEK