A4YIL0 AF NFT

Phenylalanine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiceorszw5rt7d7yhz3cijkf4lo4udyxqjmade2eh27fenxdgnhxz4/metadata.json
IPFS of structure file: 
bafybeiebtg74xbgxuzrkpvvd4qnnf44aftttf5wuhrwuxyxkakgfchwthq/AF-A4YIL0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xaa53776A41fB2e67da75A96E8a53746b6874aAB4
First NFT owner address (bech32): 
genesis14ffhw6jplvhx0kn449hg55m5dd58f245h56u30
Current NFT ID #446940 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
446940
Accession (UniProt):
A4YIL0
Name::
Phenylalanine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
METALLOSPHAERA SEDULA (STRAIN ATCC 51363 / DSM 5348 / JCM 9185 / NBRC 15509 / TH2)

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 A4YIL0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4YIL0|SYFB_METS5 Phenylalanine--tRNA ligase beta subunit OS=Metallosphaera sedula (strain ATCC 51363 / DSM 5348 / JCM 9185 / NBRC 15509 / TH2) OX=399549 GN=pheT PE=3 SV=1 MPTINLNKWILQDMTGLNEQELVDYLFKLKSEVSPVSQDEYSIEVNADRLDMLSLGGIVRALKGITGKELGEPSYPVKDTDYVLEVEKVASRPYALACVIYNVKLSPDFYLKELIQFQEKLHDTIGRRRKKVAIGIHDLEKVEGKIIRYAPVSLSTTFIPLNQEREMSVRDVLQETPQGKQYGNISVWDSNSPAIMDERGILSVPPVINSDRTKITGNTKSLLIDVTGTNFESVMETMDLLATALAELGGIIGRVKVRGMSVDRSPVLRHTSVPFSLDDVNKRLGIHVSRDEAINLIRMMRMEVETNKDLAVIVPPYRVDIMNYTDVAEDIAMAYGYDRFTLESGRTASRGSLSEKSEIYRKLRTLLVGAGFQEVYTLVLTKSSYQRGEAVNIANPISVEYDSVRNSLLWNSLVFLSNNQHSRFPVRIFEIGDVVNRDDSKDTKYSNSTRLSMAIMDSRVSYEMLQAPLHEVLLNLLGVAPSYRRFESDIFMKGRSAEVVVKGETIGRLGEANPELLRSFGLLYPVLLAELDLDALRRVM