Q9HJ27 AF NFT

Cysteine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihmnr5jp6qc3qfbcjd5gymoo5y76biux5pdakolzcdseazasqwfhi/metadata.json
IPFS of structure file: 
bafybeihinypa6vjncqm3sbvpjbf7r3sgpjbyaynwkcjr25uwtcwxawufpi/AF-Q9HJ27-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xc663c339B33EBB31b84039575e218358B8FeD238
First NFT owner address (bech32): 
genesis1ce3uxwdn86anrwzq89t4ugvrtzu0a53c80detx
Current NFT ID #444280 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
444280
Accession (UniProt):
Q9HJ27
Name::
Cysteine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
THERMOPLASMA ACIDOPHILUM (STRAIN ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165)

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 Q9HJ27 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9HJ27|SYC_THEAC Cysteine--tRNA ligase OS=Thermoplasma acidophilum (strain ATCC 25905 / DSM 1728 / JCM 9062 / NBRC 15155 / AMRC-C165) OX=273075 GN=cysS PE=3 SV=1 MRFYNTLTRDVDEFKEMNSGRINMFVCGPTVQDHFHIGHARTYIFFDAVAKLLRNLGYSVFYLQNITDIDDKIINKAREMNIQPQDVADMYLREFLEDMSALKVTSVNYFAKSTLYINEIISQISRLIEKGYAYETSDGVYFEVSKFADYGQLSNQSLDQIIHGYRVAVNENKRNPEDFVLWKKRKPGEPYWDSPWGPGRPGWHIEDTAITETYFGPEYDIHGGGSDLIFPHHEAEIAQMRAISGRKYLSHYWIHTGMINVNNEKMSKSLKNFVTIREVLKEYRPEDLRYALLNANYRTQLDFSKGLLEESRKQVEYLNSTFRKLVNASGNSDLSADPSAVIKRMVDEATNDFDFRSVFRDLIDFAGDLNKNIESISRPAAQKAIDVFRWVDSFAGILLPETARLSGIIDDLLDLRKNLRTERKFQEADRIRDLLLKNGIHVEDRGDETIWW