A6WH92 AF NFT

Glycine--tRNA ligase beta subunit

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicm3w3pn5lxea6xpmz67mh6vop2jkuwmdhoajt32bwfhjtw3s2mqy/metadata.json
IPFS of structure file: 
bafybeibsn7ofxwea53h5mqpfzmlptrkmgp7ieovutlaxlff5l7igrs2ile/AF-A6WH92-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x38047ce090cAC00B9195040abFba84F85133149B
First NFT owner address (bech32): 
genesis18qz8ecysetqqhyv4qs9tlw5ylpgnx9ymh3ewsv
Current NFT ID #447773 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
447773
Accession (UniProt):
A6WH92
Name::
Glycine--tRNA ligase beta subunit
Experimental Method:
Predicted structure
Sequence source:
Shewanella baltica (strain OS185)

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 A6WH92 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A6WH92|SYGB_SHEB8 Glycine--tRNA ligase beta subunit OS=Shewanella baltica (strain OS185) OX=402882 GN=glyS PE=3 SV=1 MNFENLLIELGTEELPPKSLRKLAESFLANFTEELTKADLAFSSAVWYAAPRRLAINVTELALAQADKVVEKRGPAVSSAFDAEGKPTKAAEGWARGNGITVEQAERLVTDKGEWLVHNAKVEGVETKSLIAAMAQRALDKLPIPKPMRWGNNKTQFIRPVHTATMLLGSELIEGELLGIKSARTVRGHRFMGQASFELAHADHYLADLKEKGKVIADYEVRKTLIKADAEKAAAKIGGKADIEDSLLEEVASLVEWPVVLTASFEEKFLNVPSEALVYTMKGDQKYFPVFDEAGKLLPNFIFVTNIESKDPAQIISGNEKVVRPRLADAEFFFNTDKKHTLESRLPSLETVLFQQQLGTLKDKVNRISALAAFIAEQTGANAVDAARAGLLSKTDLMTNMVMEFTDTQGTMGMHYARLDGETEAVAVAMEEQYKPKFSGDTVPSAGVSCAVALADKLDTLVGIFGIGQAPKGAADPFALRRAAIGVLRIIVENKLPLDLVDLIAKAQALHGTNLSNANASDEVLEFLMARFRAWYQDKGIGVDVILAVLARRPTRPADFDSRINAVSHFRSLEASSALAAANKRVSNILAKVEGALPTTINANLLTEAAEQALAAKLNELQPLLAPLFANADYQQALTLLAGLRESVDQFFEDVMVMADDEALKNNRLALLNNLREQFLHVADISLLQ