Analyzing the potential of AlphaFold in drug discovery
Study finds computer models that predict molecular interactions need improvement before they can help identify drug mechanisms of action.
Nanoparticle sensor can distinguish between viral and bacterial pneumonia
Using this diagnostic, doctors could avoid prescribing antibiotics in cases where they won’t be effective.
New gels could help the medicine go down
Mixing drugs into oil-based gels could offer relief for children and adults who have trouble swallowing pills.
Engineered bacteria could help protect “good” gut microbes from antibiotics
Microbes that safely break down antibiotics could prevent opportunistic infections and reduce antibiotic resistance.
SMART researchers discover unique lysin capable of killing multidrug-resistant bacteria
Novel lysin Abp013 has shown promising antimicrobial ability against Acinetobacter baumannii and Klebsiella pneumoniae.
Study sheds light on antibiotics-associated diarrhea
SMART researchers find explanation for why some patients might experience diarrhea after taking amoxicillin-clavulanate.
Chemical synthesis yields potential antibiotic
A new strategy for producing a natural compound could also be used to generate variants with even stronger antimicrobial activity.
Protein structure offers clues to drug-resistance mechanism
A new study sheds light on how a protein pumps toxic molecules out of bacterial cells.
2021-22 Takeda Fellows: Leaning on AI to advance medicine for humans
New fellows are working on electronic health record algorithms, remote sensing data related to environmental health, and neural networks for the development of antibiotics.
Illuminating the history and global story of antibiotics
HASTS PhD student Rijul Kochhar tracks changing medical and microbial realities, and examines what they portend for society.
Metabolic mutations help bacteria resist drug treatment
Study suggests forcing bacteria to burn more energy could make them more susceptible to antibiotics.
SMART researchers use lysins to selectively target bacteria
The discovery can help to cure bacterial infections without inducing resistance or causing harm to good bacteria.
Algorithm reduces use of riskier antibiotics for UTIs
Machine learning model predicts probability that a particular urinary tract infection can be treated by specific antibiotics.
3 Questions: Ram Sasisekharan on hastening vaccines and treatments
Biological engineer discusses condensing the time taken to develop therapeutics down from many years to a matter of months.
Regina Barzilay wins $1M Association for the Advancement of Artificial Intelligence Squirrel AI award
MIT professor announced as award’s first recipient for work in cancer diagnosis and drug synthesis.