A4VX91 AF NFT

Glycine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiabzn46ruw5pkm4riztekzq4co47hvzku4hutibhlyeyfwtp7pxem/metadata.json
IPFS of structure file: 
bafybeifowyyvkqnoloceshieot6f4mjo4vku3ugyrtv3nbs7hoxqjshsfa/AF-A4VX91-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x866b846BF04951b9214b46ED5E3FC54E8e4ab00f
First NFT owner address (bech32): 
genesis1se4cg6lsf9gmjg2tgmk4u079f68y4vq076zuja
Current NFT ID #447827 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
447827
Accession (UniProt):
A4VX91
Name::
Glycine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
STREPTOCOCCUS SUIS (STRAIN 05ZYH33)

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 A4VX91 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4VX91|SYGB_STRSY Glycine--tRNA ligase beta subunit OS=Streptococcus suis (strain 05ZYH33) OX=391295 GN=glyS PE=3 SV=1 MTKNLLVELGLEEIPAYIVTPAMHQLRDRMATFLTDNRLAFDSIDVFSTPRRLAVRVRGLADQQTDLTEDFKGPAKKIALDADGNFTKAAEGFVRGKGLTTADIEFREIKGEEYVYVTKHEAGQPAKTVLAGIPEVLKAMTFPVSMNWASNKFAYIRPVHTLTVLLDDEALDMDFLDITSGRISRGHRFLGNETEIASADSYEADLRAQFVITDPAERQNMIVEQIKAIEDKHNVTVEIDEDLLNEVLNLVEYPTAFMGSFDTKYLEVPEEVLVTSMKNHQRYFVVRDKAGKLLPNFISVRNGNDQYLDNVIKGNEKVLVARLEDGEFFWREDQKLKIADLVERLKVVTFHEKIGSLYEHMERTKVIAEKLADLAGLSAGEKADVARAADIYKFDLLTGMVGEFDELQGIMGEKYALLAGEKPAVAAAIREHYLPNSAEGELPESKVGAVLALADKFDTLLSFFSVGLIPSGSNDPYALRRATQGIVRILEAFGWEIPLDQLIAELYSLNFASLTYDNQPAVMDFIRARVEKMMDKTIPKDIREAVLASSTFVVRLQLAASSAIFQKAKEADYKEAVENLSRVFNLAEKAEVTAIDEALFENDQEKALAAAVAGLELTEDMAGNLDKLFALSPVIAAFFDNTMVMVDDATVKANRLALLKALADKASAVAVFNLLNSK