Anticipating Resistance

Using computational algorithms and experimental evolution, researchers are predicting antimicrobial-resistance patterns to improve drug design.

Written byJyoti Madhusoodanan
| 4 min read

Register for free to listen to this article
Listen with Speechify
0:00
4:00
Share

Staphylococcus aureus on blood agarWIKIMEDIA, HANSNDuring microbial infections, the battle between a drug and a pathogen determines whether a patient will be cured. When extending the metaphor of drug resistance as an arms race between bacteria and antibiotics, however, the bacterial genome is the true battleground.

When faced with antibiotics, bacteria employ several evasive tactics. These include switching genetic sequences to mutate target sites on proteins and changing gene-expression patterns. Less drug-specific mechanisms, such as thickening cell walls or increasing the expression of efflux pumps (which can quickly clear drugs), are also common.

Using computational approaches and laboratory experiments, scientists are now trying to model such molecular defenses in an effort to eventually make drugs that are less likely to incite antibiotic resistance.

Efforts to make new antibiotics that are effective against resistance—yet less likely to incite their own—have been in place for several years. “But the push to make that part of a drug discovery program at the very earliest stages has come about approximately in the last five to ...

Interested in reading more?

Become a Member of

The Scientist Logo
Receive full access to more than 35 years of archives, as well as TS Digest, digital editions of The Scientist, feature stories, and much more!
Already a member? Login Here
July Digest 2025
July 2025, Issue 1

What Causes an Earworm?

Memory-enhancing neural networks may also drive involuntary musical loops in the brain.

View this Issue
Explore synthetic DNA’s many applications in cancer research

Weaving the Fabric of Cancer Research with Synthetic DNA

Twist Bio 
Illustrated plasmids in bright fluorescent colors

Enhancing Elution of Plasmid DNA

cytiva logo
An illustration of green lentiviral particles.

Maximizing Lentivirus Recovery

cytiva logo
Explore new strategies for improving plasmid DNA manufacturing workflows.

Overcoming Obstacles in Plasmid DNA Manufacturing

cytiva logo

Products

shiftbioscience

Shift Bioscience proposes improved ranking system for virtual cell models to accelerate gene target discovery

brandtechscientific-logo

BRANDTECH Scientific Launches New Website for VACUU·LAN® Lab Vacuum Systems

The Scientist Placeholder Image

Waters Enhances Alliance iS HPLC System Software, Setting a New Standard for End-to-End Traceability and Data Integrity 

The Scientist Placeholder Image

Agilent Unveils the Next Generation in LC-Mass Detection: The InfinityLab Pro iQ Series