A smarter way to develop new drugs
A new artificial intelligence technique only proposes candidate molecules that can actually be produced in a lab.
A new artificial intelligence technique only proposes candidate molecules that can actually be produced in a lab.
Researchers create a mathematical framework to examine the genome and detect signatures of natural selection, deciphering the evolutionary past and future of non-coding DNA.
Novel lysin Abp013 has shown promising antimicrobial ability against Acinetobacter baumannii and Klebsiella pneumoniae.
A new strategy for producing a natural compound could also be used to generate variants with even stronger antimicrobial activity.
Study results also show that pancreatic tumor cells can be forced into a more susceptible state by changing their environment.
A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.
A new RNA-based control switch could be used to trigger production of therapeutic proteins to treat cancer or other diseases.
“A Shot in the Arm,” a new book from Professor Yossi Sheffi, reveals lessons about overcoming global threats.
Sachin Bhagchandani wins NCI Predoctoral to Postdoctoral Fellow Transition (F99/K00) Award.
Public-private partnership aims to advance development and production of medical treatments.
Blocking a key enzyme could kill parasites that have evolved resistance to existing drugs.
The alumni-founded startup Uncountable has developed a digital workbook to help scientists get more out of experimental data.
Professor Tim Jamison’s company Snapdragon Chemistry helps turn the latest innovations in chemistry into impactful drugs.
A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the Johnson & Johnson Covid-19 vaccine.
MIT research combines machine learning with nanoparticle design for personalized drug delivery.