Q8TPF7 AF NFT

Phenylalanine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicgsys4d7thsf4blg57xm4ng2cya4a4ryecb56zmj5bvusz36datu/metadata.json
IPFS of structure file: 
bafybeid4brnqzz2mseozn43osddzk3xdbcy4qxua7m7g4raw7otatmps7m/AF-Q8TPF7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x944ed3Ad5F85075b3157aaAaE8CDf0E6fa419f4B
First NFT owner address (bech32): 
genesis1j38d8t2ls5r4kv2h424w3n0sumayr86tm5qxp8
Current NFT ID #446923 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
446923
Accession (UniProt):
Q8TPF7
Name::
Phenylalanine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
METHANOSARCINA ACETIVORANS (STRAIN ATCC 35395 / DSM 2834 / JCM 12185 / C2A)

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 Q8TPF7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q8TPF7|SYFB_METAC Phenylalanine--tRNA ligase beta subunit OS=Methanosarcina acetivorans (strain ATCC 35395 / DSM 2834 / JCM 12185 / C2A) OX=188937 GN=pheT PE=3 SV=1 MPVITLHYEDLEKLTGTDKETIIKRVPMIGADIERVEDEYVDIEFFPDRPDLYSVEGAARAMRGFLDLETGLPEYAIKPYEVSISVSENILKIRPFLGCAVVRGVKFTSSSIKSLMDLQEDLHWGLGRNRKKVSIGVHDLKNVQPPFRYMAVDPSFEFVPLDYTEKMSMTDILEKHPKGTRFAHLVKDFEKYPIILDANDNVLSFPPIINGTLTTVTEQTTDLFIDVTGLGEAVYIALNIVVTALAERGGQIEFVRVIRPGGEELVLPDLEPKERLLTTGEVKALMGMDLTVEEIVKQLERMRFGAAALDKEAVEVKVPAYRADILHNYDLVEDIAKGYGYENIKVKVPETYTPGKSHPISLMRASVNEIMVGLGYYEVMPFTLTSEKINFENMCRPKTDDVTYVLHPISEDQTMIRTTVLPNLLEILSLNQHRELPQKIFEFGEVVSNETTGQHVAAVSIHPQANFTEVYEVVDALMREMMLPYEVKESEDPAFLEGRRADVYVNGKKLGVFGEFHPEVISNFALGYAVVGFELDLNDLIGKKI