Q83GS7 Tyrosine--tRNA ligase MolNFT, Molecular NFT on GenesisL1

Tyrosine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeid4a4hcsaak3raz4nxkrcqy3254gwo2lvw4ftkdt7kppnfdokiknq/metadata.json

IPFS of structure file:

bafybeigdc4ovmam7px7c7npk3vd7dwwirooide4cj2sa765kb2gtncv6de/AF-Q83GS7-F1-model_v2.pdb

First NFT owner address (eip-55):

0x010B024D599893c4b5edc91b70cCb2Dc2F8A321a

First NFT owner address (bech32):

genesis1qy9syn2enzfufd0deydhpn9jmshc5vs623ep59

Current NFT ID #455841 owner (web3):

0xd91633319BDB0a92cbC4f08DeA734Bf74C030064

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
455841
Accession (UniProt):
Q83GS7
Name::
Tyrosine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Tropheryma whipplei (strain Twist)

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 Q83GS7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q83GS7|SYY_TROWT Tyrosine--tRNA ligase OS=Tropheryma whipplei (strain Twist) OX=203267 GN=tyrS PE=3 SV=1 MPNAPEVNSVWDELLWRGLVCVSTDQGALKELLDGPPIRFYCGFDPTAPSLHVGNLAQILIMRRLQLAGHRPIALVGGSTGLIGDPRPGGERQLHSHEQVQEWVRALQQQLSRFLDFKGAAAAVLVNNLDWTKSLTALDFLRELGKHFRVNAMLKKDAVAARLSSTEGISYTEFSYQILQSLDFRQLYLDYKCVLQIGGSDQWGNITSGVDLIRKTEGAGVHAFGSPLLTASDGSKFGKTEGNAIWLDADLTSPWSFYQFFLNSDDADIPRLLRVFTFFTRSEIEDLNRSVRENASARLAHRHLAYSVTRLVHGADVADQVLLACSVLFGDGGALGKTQTGLPRIDSDTLNDSSGVTTIKAQDNTYTPYSPEGVRFAGTFPVDPRFLRSILFELPNATVSAHDLITHILQKVGLCRSLSEARRLISQGGIYVNNIKVTCPDALLDSFLDNSMPIRAAILRKGKKHLAAVFY

Q83GS7 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q83GS7 research and analysis (ICN3D with VR)

FASTA sequences

We use cookies on this site to enhance your user experience