A7N949 AF NFT

Aspartate--tRNA(Asp/Asn) ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiau27ffm36mg6bnh3icm2c4kv63dcr5ue53egsttyxjfuutyjiihm/metadata.json
IPFS of structure file: 
bafybeib5ncay6etuljsvowmdzkf5fbl2cwgjpdfyuak23slxep7xyifoda/AF-A7N949-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd10960F956646DE8b64d3598984c91C2d5Af3D7b
First NFT owner address (bech32): 
genesis16yykp72kv3k73djdxkvfsny3ct2670tm7h5hjv
Current NFT ID #444566 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
444566
Accession (UniProt):
A7N949
Name::
Aspartate--tRNA(Asp/Asn) ligase
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. holarctica (strain FTNF002-00 / FTA)

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 A7N949 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A7N949|SYDND_FRATF Aspartate--tRNA(Asp/Asn) ligase OS=Francisella tularensis subsp. holarctica (strain FTNF002-00 / FTA) OX=458234 GN=aspS PE=3 SV=1 MRTHYSSDINEKLQGQKVTVCGWVHRRRDHGGVIFLDIRDRTGLVQLVFNPDNDNFKVADSLRSEFVIKAEGVVNLRPEGQENKNISSGKVEIIGDSIEVINKSKTIPFQLDDFQSTGEDVKLKYRYIDLRRPEMQHKLITRSKAIRYVRNFLDNNGFLDIETPFLTKATPEGARDYLVPSRNFNGKFYALPQSPQLFKQLLMVSGFDRYYQIVKCFRDEDLRADRQPEFTQIDIEASFIDEAFIMSTMERMIAGLFKETIGVEFATPFQVMTFADAIDKYGSDKPDLRIPLEFVNIKEDMQNEEFKVFSGPANDPQSRVIALRISGGNDKLTRKMIDEYTKFVGIYGAKGLAYIKINSLSQGKEGLQSPIVKNISEETLFKVIEKTSAKEDDLLFFGAGKTKIVNDSMGALRAKIGEDLDLFNKDWAPLWVVDFPMFEKDDNRLYAMHHPFTAPKVSSVEDLVNTNPEELSSRAYDMVINGYEVGGGSIRIHKQDIQAKVFNLLGISDDEAREKFGFMLDALSYGTPIHGGIAFGVDRLIMLLTGTTNIRDVIAFPKTQTASCLMTEAPSTVSLEQLNELGIAVKKEER