Research published in Nature Communications shows how generative AI can be used to design complex dual-action cancer drug candidates. Insilico Medicine has developed a PKMYT1 degrader that both eliminates the target protein and blocks its activity, demonstrating the growing role of AI in advanced drug discovery.
Promatix Biosciences is developing a new generation of bispecific antibody–drug conjugates using proprietary membrane proteomics data to identify highly selective target pairings. CEO Dr Michael Hunter explains how the company’s TXPro database enables discovery of previously unexplored tumour biology to improve therapeutic index and reduce on-target/off-tumour toxicities in solid tumours.
University of Texas MD Anderson Cancer Center researchers have discovered that YAP1 protein expression emerges after chemotherapy treatment in small cell lung cancer, enabling resistant cancer cells to survive and proliferate.
Research published in Nature Communications shows how generative AI can be used to design complex dual-action cancer drug candidates. Insilico Medicine has developed a PKMYT1 degrader that both eliminates the target protein and blocks its activity, demonstrating the growing role of AI in advanced drug discovery.
Promatix Biosciences is developing a new generation of bispecific antibody–drug conjugates using proprietary membrane proteomics data to identify highly selective target pairings. CEO Dr Michael Hunter explains how the company’s TXPro database enables discovery of previously unexplored tumour biology to improve therapeutic index and reduce on-target/off-tumour toxicities in solid tumours.
Early drug discovery has no shortage of models, but predicting what will translate to patients remains difficult. This report examines how organoids, organ-on-chip systems and imaging technologies are used to measure drug response, analyse resistance mechanisms and assess how well findings reflect clinical outcomes in human-relevant models.
Research published in Nature Communications shows how generative AI can be used to design complex dual-action cancer drug candidates. Insilico Medicine has developed a PKMYT1 degrader that both eliminates the target protein and blocks its activity, demonstrating the growing role of AI in advanced drug discovery.
Promatix Biosciences is developing a new generation of bispecific antibody–drug conjugates using proprietary membrane proteomics data to identify highly selective target pairings. CEO Dr Michael Hunter explains how the company’s TXPro database enables discovery of previously unexplored tumour biology to improve therapeutic index and reduce on-target/off-tumour toxicities in solid tumours.
University of Texas MD Anderson Cancer Center researchers have discovered that YAP1 protein expression emerges after chemotherapy treatment in small cell lung cancer, enabling resistant cancer cells to survive and proliferate.
New research reveals that subtle chemical changes to proteins after synthesis play a critical role in determining drug-protein interactions.
Preclinical data presented at ARVO 2026 demonstrate therapeutic potential of targeting Gpr124 and Lrp6 Wnt co-receptors to restore blood-retina barrier integrity in diabetic macular oedema and wet age-related macular degeneration, with trispecific candidate NVQ501 advancing towards IND-enabling studies.
Early drug discovery has no shortage of models, but predicting what will translate to patients remains difficult. This report examines how organoids, organ-on-chip systems and imaging technologies are used to measure drug response, analyse resistance mechanisms and assess how well findings reflect clinical outcomes in human-relevant models.
A UCLA-led research team has developed SEE-CITE, an advanced photo-crosslinking technology that enables direct comparison of drug-protein binding interactions, potentially aiding the discovery of safer, more effective therapeutics across multiple disease areas.
Researchers have developed a dual-mechanism compound that significantly extended survival in preclinical pancreatic cancer models by simultaneously activating immune responses and blocking suppressive pathways.
Cryo-expansion microscopy has enabled researchers to visualise the three-dimensional organisation of cytotoxic T lymphocytes destroying cancer cells in their near-native state, revealing nanoscale structural details of the immune synapse and cytotoxic granules that could refine immuno-oncology therapeutic strategies.
A novel drug design strategy has achieved binding strengths up to a million times greater than previous approaches against intrinsically disordered proteins, potentially leading to new treatments for prostate cancer and other diseases involving these historically intractable targets.
VIB-VUB researchers have developed a patient-relevant lung adenocarcinoma model combined with SEPARATE-Seq technology to create detailed immune maps distinguishing tissue-infiltrating cells from circulating populations.
Eli Lilly has acquired CrossBridge Bio, advancing a dual-payload antibody-drug conjugate platform developed at UTHealth Houston. The technology aims to deliver chemotherapy more precisely to tumour cells whilst minimising damage to healthy tissue, with lead candidate CBB-120 now positioned for accelerated clinical development.
University College Dublin researchers have discovered that cells use nanoparticle-based courier systems coated with proteins and RNA to exchange biological information. The findings detail how natural cellular gateways could be exploited to deliver therapeutic molecules to previously inaccessible locations, potentially changing the way RNA, gene and protein-based therapies work.
The Ontario Institute for Cancer Research has awarded $3.1 million to four provincial research teams developing novel cancer therapies designed to overcome drug resistance and reduce treatment-related toxicity.
Champions Oncology will present eight studies at AACR 2026 spanning KRAS-mutant tumours, ovarian cancer, glioblastoma and emerging therapies including radiopharmaceuticals and CAR-T, using patient-derived models to improve early-stage decision-making in oncology drug development.
Insilico Medicine has nominated ISM6200, a preclinical drug candidate designed using generative AI to target NR3C1, a receptor involved in cortisol regulation.