B1L9T5 AF NFT

Glycine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeid44eqhuwt6yud5os4wxge3pnd277wa4q5qjomcpuh3qpzqrnhjvm/metadata.json
IPFS of structure file: 
bafybeid2krkparqznxz5kbr4f476wv2gb7zmwre6y45kvsabx74xgnoed4/AF-B1L9T5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xFBD832B6A70A30ce7023DA027877563120032929
First NFT owner address (bech32): 
genesis1l0vr9d48pgcvuuprmgp8sa6kxysqx2fffljjkk
Current NFT ID #447842 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
447842
Accession (UniProt):
B1L9T5
Name::
Glycine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
Thermotoga sp. (strain RQ2)

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 B1L9T5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B1L9T5|SYGB_THESQ Glycine--tRNA ligase beta subunit OS=Thermotoga sp. (strain RQ2) OX=126740 GN=glyS PE=3 SV=1 MRTALLEVGLEELPASEFHSILRQLEEKSAELLKAYRISSGSVEVFVGSRRFGVILNNLPERQEDFTEEKKGPPLNIAYDENGKPTRALEGFLRNNNASLENVVHREGYVYLSRVVEGKPVEEVLPDLFRDLVLGLNFRKPMRWGSGEHEYVRPVHWIVAMVDGRVLDLEIFGLRSSRISYGKRYHAGSIEIPDPERYYESLKKGFVISSHLERKKFVLEQIDEFEKRSGMKIERDEELIEEIVAITEYPRIVVGQFDRKYLELPEEIIVTAVKHHQRSFIAHKETLTNIFVAFQDGPQPPENVVKGYERVINARLEDARYYFQKDLETSLEKMNEKLKEIVFQEKLGTLYDKVERIKKISQRLCEDLKLPEMFTQKVLEAASICKADIASKVVYEFPELQGVMGRIYALREGINEEIATAIEDHYSEEPQTVIGSILGIADRIDTIVGNFAIGNVPTSSKDPYGLKSKADTIFRIIRKNEWDISLEELLTFASSLVKYHLSEELETFFAGRFYQFLINELGISFDVARAVNHLWKKPLRGILSAEALQEISEKPEFQDLFVGFERVHNITKNHDSTKFDGALFEKEEEKKLMNKFYEVKEKVLKALERLNYREALQYLIELKPYIDEYFDNVFVMVKRDDLRVNRLSFLKNIDELFMMVGDMTYLVKRSQV