Q2GKS1 AF NFT

Serine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibwmgsdkukdau7va5imteaej4e4e4vdkpzmyq43mdbemwrdy6btiu/metadata.json
IPFS of structure file: 
bafybeiedrxmpon4ywy26ykfwdugrqwjfo3jhvam2isxm3tph2gj3zhkpuy/AF-Q2GKS1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xA3A648e2D49954a7AB0757a6Ac0797650f3E2D12
First NFT owner address (bech32): 
genesis15wny3ck5n92202c827n2cpuhv58nutgj5eaef8
Current NFT ID #453265 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
453265
Accession (UniProt):
Q2GKS1
Name::
Serine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Anaplasma phagocytophilum (strain HZ)

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 Q2GKS1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2GKS1|SYS_ANAPZ Serine--tRNA ligase OS=Anaplasma phagocytophilum (strain HZ) OX=212042 GN=serS PE=3 SV=1 MHDIEFIKNNPELFDKAMLSRGLESQAAKIIELDLQKRKLLTELYALREQRNAITKEVTVLKQSGADCSSHVETSKKLAHEISELEERIKRDTGLSYLLCSLPNIPDDAVPFGKSADDNVEVRSYGQKRSFSFEIKPHYVLGEMLNLMDFRRAAFLSGSRFSILSGQLAALERGLASFMLEMHTKEFGYTEVFHPSLVNDLAMFNVGQLPKFTHDSFQTTDAMRLVPTSEVVLTNLVANTNLHRNSLPLRFTAYSQCFRSEAGSAGQDTRGMIRQHQFSKVELVSITDASQSNVELERMLSVAEEVLKRLELPYRVVLLCTGDMGFSASISYDIEVWMPAQNKYREISSCSNCKDFQARRMGAKCFYLEKQNKRSSFVHTLNGSALALGRTIAAIMENYQNSDGTITIPDALRKFMSADYIRPGTALP