A5CWF9 AF NFT

Threonine--tRNA ligase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifdaixrzhtkdsejmnid7keejcchzt7rkplhmi72vg5l3l2r6lwbwu/metadata.json
IPFS of structure file: 
bafybeiale2psq5nucxqepo26qxl4kaenonkfpsw7zeh7b4lsnhm3lghpou/AF-A5CWF9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xf064f9855c0F5051ce90d791E3a02eF3d037324a
First NFT owner address (bech32): 
genesis17pj0np2upag9rn5s67g78gpw70grwvj2sta3du
Current NFT ID #454746 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
454746
Accession (UniProt):
A5CWF9
Name::
Threonine--tRNA ligase
Experimental Method:
Predicted structure
Sequence source:
Vesicomyosocius okutanii subsp. Calyptogena okutanii (strain HA)

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 A5CWF9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A5CWF9|SYT_VESOH Threonine--tRNA ligase OS=Vesicomyosocius okutanii subsp. Calyptogena okutanii (strain HA) OX=412965 GN=thrS PE=3 SV=1 MPIITLPDGTKKIFEQVVSVEQVAKSMGLVKAALAGEVDGELVSTSFLIKTDANLTIITANDDQGLEIIRHSTAHLLAQATQMLYPDAQVTIGPVIDNGFYYDFAYKNGFLEGDLIKIEKNMHKLVKQNLKIEKFEMSRDETLQFFKDKGEYYKVKIIESISTDQILSLYKQGDFIDLCRGPHVPSTAKLKNFKLMKLAGAYWRGDSSNEMLQRVYGTAWGNEQDLKVYLHKLEEVARRDHRKIGKTQDLFHIQEETPGMVFWHAKGWILYQLVEQYMRGIFRDNGYQEVHTPQLIDKSLWEKSGHWDKFGDVMFTTTSGDRDYAVKPMNCPAHIQIYNQGLKSYRNLPLRLAEFGSCHRNEPSGTLHGIMRVRNFVQDDGHIFCTPEQIQDEVSTFIDLTFNVYKYFGFEKINIKLSTRPKKRVGSDEVWDKSEIALVEALNAKNIVWELQEGEGAFYGPKIEFILKDCLDRQWQCGTLQVDFSMPKRLGAQFIDENSVKKTPVILHRAIMGSLERFLGILIEHYEGAYPCWLSPIQAVIINISEKHAKFIVDIVKKLKKQGLRVISDLRNEKVSFKIREHSLQRYPYILVVGDREMEKGQVSVRQRGGKDLGAMSVGTFIKKVNQETLLKNQIK