Q92BF5 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifh5jwjcvufbqxl74e5zbfkunvai44xnvjtjhmdd7mwulqrfdy3ha/metadata.json
IPFS of structure file: 
bafybeifldxiuyafc4suqma4r5sb4glzzhsul7twi3272akxlol7f2k4elm/AF-Q92BF5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb0eE012d633aaaddC45C81d2C278B0cA4d9F1ec5
First NFT owner address (bech32): 
genesis1krhqzttr824dm3zus8fvy79sefxe78k9efxd9v
Current NFT ID #454414 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
454414
Accession (UniProt):
Q92BF5
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
LISTERIA INNOCUA SEROVAR 6A (STRAIN ATCC BAA-680 / CLIP 11262)

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 Q92BF5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92BF5|SYT_LISIN Threonine--tRNA ligase OS=Listeria innocua serovar 6a (strain ATCC BAA-680 / CLIP 11262) OX=272626 GN=thrS PE=3 SV=1 MKITFPDGAVKEFEPGVSTADIAASISPGLKKKALAGKLNGELLDLVTPIHEDGAIEIVTPDHEDALGILRHSTAHLMAQALKRLYPDVKFGVGPAIESGFYYDIDTEAVISDESLVEIEKEMQKIVRENVPIEREVVSREEAIKRFEAIGDQYKLELIEAIPEDETVTIYTQGEFFDLCRGVHVPSTGKIQVFKLLSVAGAYWRGDSNNKMLQRIYGTAFFDKNGLKEFIQMQKEAKERDHRKLGKELDLFANSIEVGQGLPLWLPKGATIRRVIERYIVDKEERLGYNHVYTPIMANVELYKTSGHWDHYHEDMFPTMKMDNEELVLRPMNCPHHMMIYKNDIHSYRELPIRIAELGMMHRYEMSGALSGLQRVRGMTLNDAHVFVRPDQIKDEFKRVVELILEVYKDFDIKDYSFRLSYRDPKNTEKYFDDDAMWEKAQAMLKSAMDEMNMDYFEAEGEAAFYGPKLDVQVKTAIGKEETLSTVQLDFLLPERFDLTYIGEDGEKHRPVVIHRGVVSTMERFVAYLIEEYKGAFPTWLAPVQMELIPVNADAHLDYAKGVQDKLQRAGLRAEVDDRNEKLGYKIREAQTKKIPYALVLGDQEVEAGSVNVRRYGSKDSETMDLDAFIAQVVAEVSKY