Integrated bioinformatic modeling of goniothalamin as a dual-target medicinal chemistry candidate against antibiotic-resistant Staphylococcus aureus and Escherichia coli
Peer-Reviewed Publication
Updates every hour. Last Updated: 29-Oct-2026 01:16 ET (29-Oct-2026 05:16 GMT/UTC)
A new computational study has found that goniothalamin — a natural plant compound — binds tightly to two critical bacterial proteins in drug-resistant Staphylococcus aureus and Escherichia coli, suggesting it could form the basis of a new class of antibacterial agents that work differently from conventional antibiotics and may be less likely to drive resistance.
The study, "Integrated Bioinformatic Modeling of Goniothalamin as a Dual-target Medicinal Chemistry Candidate against Antibiotic-resistant Staphylococcus aureus and Escherichia coli," was co-authored by Nawan Nawan, Septi Handayani, and Agnes Immanuela Toemon, and published in The Open Medicinal Chemistry Journal.Robots often learn from historical experience collected under older controllers and physical conditions. When tasks, hardware or environments change, that data can become misleading. Researchers developed Occupancy-Matching Policy Optimization (OMPO), which anchors large replay buffers to a small set of recent interactions. Across locomotion, transfer, manipulation and a real-robot test, OMPO improved stability, sample efficiency and adaptation.
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