Q8E0L9 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicavnlz6otapikrropew62rh356kvjppa2rsv3qoknjbxro2vn5oa/metadata.json
IPFS of structure file: 
bafybeie5fo7lhujerlg6chdmhrtzpndlvunmvkjpzqxunbj434b3kdsh54/AF-Q8E0L9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5Ded1C9cb4c4020CEee9D7f2723AAB1C7B706Fd9
First NFT owner address (bech32): 
genesis1thk3e895cspqemhf6le8yw4tr3ahqm7efe6gf6
Current NFT ID #454667 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454667
Accession (UniProt):
Q8E0L9
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS AGALACTIAE SEROTYPE V (STRAIN ATCC BAA-611 / 2603 V/R)

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 Q8E0L9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8E0L9|SYT_STRA5 Threonine--tRNA ligase OS=Streptococcus agalactiae serotype V (strain ATCC BAA-611 / 2603 V/R) OX=208435 GN=thrS PE=3 SV=1 MIKITFPDGAIREFESGITTFEIAQSISNSLAKKALAGKFNGQLIDTTRAIEEDGSIEIVTPDHEDALGVLRHSAAHLFAQAAKRLFPDLCLGVGPAIQDGFYYDTDNKSGQISNDDLPRIEEEMKKIVKENHPCIREEISKEEALELFKDDPYKVELISEHAEDGLTVYRQGEFVDLCRGPHVPSTGRIQVFHLLNVAGAYWRGNSDNAMMQRVYGTAWFDKKDLKAYLKRREEAKERDHRKLGKELDLFMVNPEVGQGLPFWLPNGATIRRELERYIVDKEIASGYQHVYTPPMASVEFYKTSGHWDHYREDMFPTMDMGDGEEFVLRPMNCPHHIEVYKHHVHSYRELPIRIAELGMMHRYEKSGALTGLQRVREMTLNDAHIFVTPEQIKDEFLKALNLIAEIYEDFNLTDYRFRLSYRDPEDKHKYYDNDEMWENAQAMLKEAMDDFGLDYFEAEGEAAFYGPKLDIQVKTALGNEETLSTIQLDFLLPERFDLKYIGADGEEHRPIMIHRGGISTMERFTAILIETYKGAFPTWLAPQQVSVIPISNEAHIDYAWEVARVLKDRGIRAEVDDRNEKMQYKIRAAQTQKIPYQLIVGDKEMEEKAVNVRRYGSKATETKSIEEFVESILADIARKSRPDEVK