Q3K1Z4 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicmka5gkq3miopvmpbvov6o26lxp3pfnqry3vmrfm62uu4jl2yz3e/metadata.json
IPFS of structure file: 
bafybeibz2x67jw2uge4sprcj372pxorubtcbtn3bbxegkggapi6tx6lfwe/AF-Q3K1Z4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x844c0a881E7457F55a632E14DcEd1163DE274C59
First NFT owner address (bech32): 
genesis1s3xq4zq7w3tl2knr9c2demg3v00zwnzewz0p44
Current NFT ID #454665 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454665
Accession (UniProt):
Q3K1Z4
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Streptococcus agalactiae serotype Ia (strain ATCC 27591 / A909 / CDC SS700)

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 Q3K1Z4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q3K1Z4|SYT_STRA1 Threonine--tRNA ligase OS=Streptococcus agalactiae serotype Ia (strain ATCC 27591 / A909 / CDC SS700) OX=205921 GN=thrS PE=3 SV=1 MIKITFPDGAIREFESGITTFEIAQSISNSLAKKALAGKFNGQLIDTTRAIEEDGSIEIVTPDHEDALGVLRHSAAHLFAQAAKRLFPDLCLGVGPAIQDGFYYDTDNKSGQISNDDLPRIEEEMKKIVKENHPCIREEISKEEALELFKDDPYKVELISEHAEDGLTVYRQGEFVDLCRGPHVPSTGRIQVFHLLNVAGAYWRGNSDNAMMQRVYGTAWFDKKDLKAYLKRREEAKERDHRKLGKELDLFMVNPEVGQGLPFWLPNGATIRRELERYIVDKEIASGYQHVYTPPMASVEFYKTSGHWDHYREDMFPTMDMGDGEEFVLRPMNCPHHIEVYKHHVHSYRELPIRIAELGMMHRYEKSGALTGLQRVREMTLNDAHIFVTPEQIKDEFLKALNLIAEIYEDFNLTDYRFRLSYRDPEDKHKYYDNDEMWENAQAMLKEAMDDFGLDYFEAEGEAAFYGPKLDIQVKTALGNEETLSTIQLDFLLPERFDLKYIGADGEEHRPIMIHRGGISTMERFTAILIETYKGAFPTWLAPQQVSVIPISNEAHIDYAWEVARVLKDRGIRAEVDDRNEKMQYKIRAAQTQKIPYQLIVGDKEMEEKAVNVRRYGSKATETKSIEEFVESILADIARKSRPDEVK