Q8E693 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib5rvu5s3hveerhxqkyawyzlr4ss7i5u34c2i2byeva547g7l6lei/metadata.json
IPFS of structure file: 
bafybeic2wp6zvtrq2u3fbavgspb2rlq55qamdtkzozh24xakvai2xz2jei/AF-Q8E693-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xAd3B86d781D9715fAa915f2655C59ce99EDd61b7
First NFT owner address (bech32): 
genesis145acd4upm9c4l253tun9t3vuax0d6cdh8fa3g3
Current NFT ID #454666 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454666
Accession (UniProt):
Q8E693
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS AGALACTIAE SEROTYPE III (STRAIN NEM316)

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 Q8E693 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8E693|SYT_STRA3 Threonine--tRNA ligase OS=Streptococcus agalactiae serotype III (strain NEM316) OX=211110 GN=thrS PE=3 SV=1 MIKITFPDGAIREFESGITTFEIAQSISNSLAKKALAGKFNGQLIDTTRAIEEDGSIEIVTPDHEDALGVLRHSAAHLFAQAAKRLFPDLCLGVGPAIQDGFYYDTDNKSGQISNDDLPRVEEEMKKIVKENHPCIREEISKEEALELFKDDPYKVELISEHAEDGLTVYRQGEFVDLCRGPHVPSTGRIQVFHLLNVAGAYWRGNSDNAMMQRVYGTAWFDKKDLKAYLKRREEAKERDHRKLGKELDLFMVNPEVGQGLPFWLPNGATIRRELERYIVDKEIASGYQHVYTPPMASVEFYKTSGHWDHYREDMFPTMDMGDGEEFVLRPMNCPHHIEVYKHHVHSYRELPIRIAELGMMHRYEKSGALTGLQRVREMTLNDAHIFVTPEQIKDEFLKALNLIAEIYEDFNLTDYRFRLSYRDPEDKHKYYDNDEMWENAQAMLKEAMDDFGLDYFEAEGEAAFYGPKLDIQVKTALGNEETLSTIQLDFLLPERFDLKYIGADGEEHRPIMIHRGGISTMERFTAILIETYKGAFPTWLAPQQVSVIPISNEAHIDYAWEVARVLKDRGIRAEVDDRNEKMQYKIRAAQTQKIPYQLIVGDKEMEEKAVNVRRYGSKATETKSIEEFVESILADIARKSRPDEVK