Q8SRH2 AF NFT

Probable threonine--tRNA ligase, cytoplasmic

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihxq7wx2737yundivpwjqhlktaghu4w5oqphyzwwiidyz2jxzphsy/metadata.json
IPFS of structure file: 
bafybeicx2vlapgxtmaiohqgbxb5b3hqk52l2yvt2d7b4lhoaepg23gtwme/AF-Q8SRH2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x885b3C9522Bc4aE586dd121409A62Ec83F58cfe2
First NFT owner address (bech32): 
genesis13pdne9fzh39wtpkazg2qnf3weql43nlz5d0hcv
Current NFT ID #454077 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454077
Accession (UniProt):
Q8SRH2
Name::
Probable threonine--tRNA ligase, cytoplasmic
Experimental Method:
Predicted structure
Sequence source:
ENCEPHALITOZOON CUNICULI (STRAIN GB-M1)

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 Q8SRH2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8SRH2|SYTC_ENCCU Probable threonine--tRNA ligase, cytoplasmic OS=Encephalitozoon cuniculi (strain GB-M1) OX=284813 GN=ECU07_1570 PE=3 SV=1 MYEVKLKVELEDKVLEVTQGTTPYDILCDYFKDRKDVISCRIDGVYSDMSSEILKDCKLELMTFEDDGARDIFWHSSAHVLGNALVNLYPDAKLVHGPPIEEGFFYDVDVTDPISSEDYEKIEEEMVKIMKKNYRFERVIKSKEELLEAYRDNPCKTHFIMKGVDKESSVYRNGDFFDMCLGPHIRSTGVIKAVKVLKNSSAYFLNDPNLKSLQRIYAITFPSKGMMDEYLKRKEEAKERDHRKIGTELDLFFFSKYSPGSCFFLPNGTTMYNTLIEFLREEYRKRGFKEVITPNIFCTQLWEESGHLQNYKENMFIIEGDTFALKPMNCPGHCVMFRHQDHSFRDLPLRLADFGVLHRNELSGTLTGLTRVRRFQQDDAHIFCTKDQVKEEIKGCLEFLSFVYGVFGFRFELVLSTRPEKYLGSVDEWDRAEKALADAMDESNMPFKINAGDGAFYGPKIDITLHDALGRRIQCATIQLDFQLPQRFELKYRDSDGQCRTPVIIHRAILGSIERMIAIILESFGKRLPFWISPRQIAIVNMGNPDYVGKVRSVLARFRLDVIDDGNTLSKRIRTAETSGYALVCVVGKKEAEANEINIRFNKSNRNIGLYELRDILDRMADEKVELDSILPIDKVSISK