Q9KGN4 AF NFT

Serine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihwobdrbvabs24vtib6ijw3hjr67wns2wrx2uqm2zu2uklns7r4tq/metadata.json
IPFS of structure file: 
bafybeiheoncfmpzlin7r4wsqwqv6shqzwfnd2nne7qiu2vvt36racdboqa/AF-Q9KGN4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xd0F50FFcB725A32341066a3d047628d87754e5f8
First NFT owner address (bech32): 
genesis16r6sll9hyk3jxsgxdg7sga3gmpm4fe0c629w37
Current NFT ID #453258 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
453258
Accession (UniProt):
Q9KGN4
Name::
Serine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125)

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 Q9KGN4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KGN4|SYS_ALKHC Serine--tRNA ligase OS=Alkalihalobacillus halodurans (strain ATCC BAA-125 / DSM 18197 / FERM 7344 / JCM 9153 / C-125) OX=272558 GN=serS PE=3 SV=1 MLDIKRLRKDFAGIREKLQTRGEDISGLEKFGSLDEKRRQVIVKVEELKSRRNQVSQEVAQLKREKKDADHLIKEMRDVSDEIKGLDETLRQLDEELDQLLLAIPNVPHESTPVGETEDDNVEVRKWGEVPNFPFEPKAHWDLATALGIVDFERAAKVTGSRFAFYKGAGARLERALINFMMDLHHDKHGYEEVLPPYLVNRTSMTGTGQLPKFEEDAFKIREEDYFLIPTAEVPVTNLHRDEILSADQLPIAYTAYSMNFRSEAGSAGRDTRGLIRQHQFNKVELVRFVAPEDSYDELEKLTGHAEKVLQLLKLPYRVMSMCTADLGFTAAKKYDLEVWIPSANTYREISSCSNFEDFQARRANIKFRREAKGKAEFVHTLNGSGLAVGRTVAAILENYQQEDGTIVIPEVLRPYMGGMEKFEA