A5I6L8 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifpyz2vj6mwyg45maxt5mndkkh2jq4ntjvy7poam4bplz4oqrjdje/metadata.json
IPFS of structure file: 
bafybeigw52b73farwjbrjmaiq2vbkunmk2xm5zracpunbf4ebua3lyvige/AF-A5I6L8-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x68234De4Ae385066f39baD8F702130A694B6EEdF
First NFT owner address (bech32): 
genesis1dq35me9w8pgxduum4k8hqgfs562tdmkl086jlu
Current NFT ID #454259 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454259
Accession (UniProt):
A5I6L8
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Clostridium botulinum (strain Hall / ATCC 3502 / NCTC 13319 / Type A)

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 A5I6L8 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5I6L8|SYT_CLOBH Threonine--tRNA ligase OS=Clostridium botulinum (strain Hall / ATCC 3502 / NCTC 13319 / Type A) OX=441771 GN=thrS PE=3 SV=1 MIKITLKDGKVMEFEEGIKISDIAMKISPALYKKALAAKIDGETVDLMTELHKDSSLEILTFEDEMGKWALRHTGSHMLAQAVKRLYPEVKLAIGPAIDTGFYYDFEADFTFTPEMLEKIEAEIKKIIKENHKLERFELPREEAIKLMKEKNEDYKVELIEDLPEGEVISFYKQGDFTDLCAGPHVPSTGKVKSVKLLSLAGAYWRGDENNKMLQRIYGTAFTKKSELDEYLNMIEEAKKRDHRKLGKELDLFSIHEEGPGFPFFHPKGMIVRNILESFWREEHTKAGYQEIRTPLILNEALWHQSGHWDHYKENMYFTNIDDDDYAIKPMNCPGGILVYKNSMHSYRDLPLRLSELGIVHRHELSGALHGLMRVRCFTQDDAHLYMTKEQIKEEVVGIIKLIDKFYKLFGFEYFVELSTRPEDSMGSDEDWEIATNGLREALDSIGKEYRVNEGDGAFYGPKIDFHLKDCIGRTWQCGTIQLDFQMPERFDLSYIGADGEKHRPVMVHRTIYGSVERFIGILIEQYAGAFPTWLAPVQVKLMNITDSQYDYLKKVEEALKENNIRVEIDTRNEKIGYKIREAQLQKVPYMLILGDKEVEAGKVAVRSRKDGDLGAISLEEFIEKIKNEIKNKTN