Q5FIW3 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibcntsklywntdmpqjefrlrqrlunqf6e6j3yvazinempcvpghu7ehm/metadata.json
IPFS of structure file: 
bafybeiggc3tu7oiv43txn2yq3v3dunzuzq2mhnaw5tjfpfbr7j4oc6dgiy/AF-Q5FIW3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb4D2d9c96b0D792d0b77e7147D724cc1F801ae58
First NFT owner address (bech32): 
genesis1knfdnjttp4uj6zmhuu286ujvc8uqrtjce36hs0
Current NFT ID #454387 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454387
Accession (UniProt):
Q5FIW3
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
LACTOBACILLUS ACIDOPHILUS (STRAIN ATCC 700396 / NCK56 / N2 / NCFM)

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 Q5FIW3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q5FIW3|SYT_LACAC Threonine--tRNA ligase OS=Lactobacillus acidophilus (strain ATCC 700396 / NCK56 / N2 / NCFM) OX=272621 GN=thrS PE=3 SV=1 MSFSVTLPDGSKKEFDKAVSVKEVASSIATSLGKAAVGAKVNGQVKPLDYEIDSDVEIAIITDKDEEGLDILRATAAFAFEAVAKKKYPELRLGQHVADEGGFYVDTDKKDQIKVTELPELEKAMEKLIKSGQPIEHVVMDKSELEEMFKDDPFKSDLLKKIDSDKVDAYKLGDFVDFGFDALLPNTGKIKHFKLLSVAGAYWLGKSSNPMLQRIFGTAFFKEAALKEDLKRRAEIKERDHRTIGRDLDLFFVDPKVGAGLPYWMPKGATIRRVVERYIIDREVADGYKHVYTPVLMNLDAYKTSGHWAHYRDDMFPPMDMGDGEMLELRPMNCPSHIQIYKHHIRSYRDLPLRVAELGMMHRYEKSGALSGLQRVREMTLNDGHTFVELDQVQSEFAKILKLIMDVYRDFDITDYYFRLSYRDPKNTDKYFANDEMWERSQKMLKGAMDDLGLDYVEAEGEAAFYGPKLDIQTKTALGNDETMSTIQLDFMLPERFGLTYVGKDGEEHRPVMVHRGIVGTMERFIAYLTEIYKGAFPTWLAPVQAEIIPVNNEAHGEYAEKVRQELAKRGFRVEVDDRNEKMGYKIRESQTQKVPYTLVLGDEEMKNGSVNVRRYGTDEEISKSLDDFINEIDADVKSYSREN