B5YJP5 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiefgqizwx2k5rk7wgnw6dgclm7m5xyvvlmrb4vwkmebpa53krodie/metadata.json
IPFS of structure file: 
bafybeibt5otrvx3mta2drnvttbdqz442rii3bsiswgsbnz4x5hu2cmnmki/AF-B5YJP5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x2060CE27f80b40356E090723Cf782004028faaeB
First NFT owner address (bech32): 
genesis1ypsvuflcpdqr2msfqu3u77pqqspgl2htmnw0wa
Current NFT ID #444792 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
444792
Accession (UniProt):
B5YJP5
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
Thermodesulfovibrio yellowstonii (strain ATCC 51303 / DSM 11347 / YP87)

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 B5YJP5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B5YJP5|SYDND_THEYD Aspartate--tRNA(Asp/Asn) ligase OS=Thermodesulfovibrio yellowstonii (strain ATCC 51303 / DSM 11347 / YP87) OX=289376 GN=aspS PE=3 SV=1 MFRDKYCAEVKEEEIGKEISLCGWVFRRRDHGGLIFIDLRDRTGIIQVVFSPEISIEMHQKAHGLRSEYVIAVKGILKKRPEGTENPELITGNVELWAKELEILSFSKPLPFQLDEMAEVSELLRLKYRYLDLRRAEMQKNFLLRHRITMAVRNFLDSKGFVEVETPMLTKSTPEGARDFLVPSRLNPGTFYALPQSPQLFKQILMMSGFDRYFQIVRCFRDEDLRADRQPEFTQIDFEMSFVKPEDIIEIVEEMLFKCFKEVLEVDIEIPFKRLTYEEAINKYGSDKPDLRFALEIQDVSELVKNSQFKVFLDTIEKGGVVKAICGKGLASLSRSEIDKLTALAQSFGAKGLAWIKVKNGFESPIVKFFSESLLREIAEKVGVEDGDMILFVADKKSLANEVLGRLRLEIAERAQIKKEGFYFAWVLDFPLFEWDEEEKRFVSMHHPFTSPKDEDIDKLLKIPQEAFYDPQSSVKDIKAKAYDIVLNGYELGGGSIRIHKADIQEHIFRILAISEEEIKRRFGFFVEALRYGAPPHGGIALGLDRLVMVMTGANSLRDVIAFPKTQKAFCPLSEAPSEVNLKQLRELHIKLDI