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Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
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Related Experiment Video

Updated: May 7, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

Collaboration gets the most out of software.

Andrew Morin¹, Ben Eisenbraun, Jason Key

¹is at the SBGrid Consortium and the Department of Biological Chemistry and Molecular Pharmacology , Harvard Medical School , Boston , United States.

|September 17, 2013

Summary

The SBGrid Consortium streamlines scientific software maintenance, freeing up valuable researcher time for core scientific discovery and innovation.

Keywords:

Cutting edge computational tools and techniques research computing software

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BioMEMS: Forging New Collaborations Between Biologists and Engineers

BioMEMS: Forging New Collaborations Between Biologists and Engineers

Published on: November 1, 2007

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Last Updated: May 7, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System

Operation of the Collaborative Composite Manufacturing (CCM) System

Published on: October 1, 2019

BioMEMS: Forging New Collaborations Between Biologists and Engineers

BioMEMS: Forging New Collaborations Between Biologists and Engineers

Published on: November 1, 2007

Area of Science:

Structural Biology
Biophysics
Computational Biology

Background:

Scientific software requires significant maintenance effort.
Decentralized software management hinders research productivity.

Purpose of the Study:

To evaluate the impact of centralized scientific software support on research efficiency.
To highlight the benefits of the SBGrid Consortium for the scientific community.

Main Methods:

Centralized management of software installation and updates.
Provision of technical support for scientific software.
Development and maintenance of a comprehensive software library.

Main Results:

Reduced time spent by researchers on software upkeep.
Increased availability of up-to-date scientific software tools.
Enhanced focus on research objectives and data analysis.

Conclusions:

Centralized scientific software support significantly boosts research productivity.
The SBGrid model effectively addresses challenges in scientific software management.
Investing in shared infrastructure like SBGrid is crucial for advancing scientific research.