Dr. Kirshner's research primarily focuses on improving the diagnosis and treatment of various conditions, including cancers associated with KRAS mutations, bacterial and viral infections, and the impacts of insomnia on older adults. He also investigates new methods for drug development, utilizing computational technologies to enhance drug effectiveness and safety. For example, he has worked on developing standards for diagnosing infections and creating computational tools that help in predicting how well drugs will work, which is crucial for developing safer medications with fewer side effects.
Key findings
Mutations in the KRAS gene (Q61H, G12V, and G12R) slow down the breakdown of GTP by 7 to over 20 times, which is vital for designing targeted cancer therapies.
The new diagnostic tool MeMed BV scored 0.98 in identifying viral infections compared to 0.69 for traditional tests, leading to better treatment accuracy for patients with infections.
The blood test measuring immune proteins for respiratory infections showed 98.1% sensitivity and 88.4% specificity for bacterial infections, enhancing emergency treatment decisions.
The fusion model developed for predicting protein-ligand binding affinities outperformed traditional methods, improving drug design efficacy when protein structures are unknown.
ELLI individuals exhibited DNA markers indicating slower aging, supporting the connection between cellular aging and longevity in older adults.
Frequently asked questions
Does Dr. Kirshner study cancer?
Yes, Dr. Kirshner focuses on cancers related to KRAS mutations, aiming to improve treatment options.
What diagnostic tools has Dr. Kirshner developed?
He has developed advancements in determining the causes of infections, using innovative methods to differentiate between bacterial and viral infections.
Is Dr. Kirshner's work relevant for older adults?
Yes, he studies the impact of insomnia on older adults, providing insights that can help manage sleep-related issues affecting their mobility and cognition.
What new treatment options is Dr. Kirshner researching for COVID-19?
He identified promising small-molecule inhibitors through screening millions of compounds, which may aid in treating COVID-19.
How does Dr. Kirshner's work impact drug development?
His research on predicting drug interactions and affinities helps developers create more effective medications with reduced side effects.
Publications in plain English
Development of a Reference Standard to Assign Bacterial Versus Viral Infection Etiology Using an All-inclusive Methodology for Comparison of Novel Diagnostic Tool Performance.
2025
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Allen C, Deanehan JK, Dotan Y, Eisenberg MA, Fine AM +18 more
Plain English Researchers developed a new standard method to determine whether infections are caused by bacteria or viruses by looking at a wide range of cases. They studied 1,016 patients with suspected infections and found that a new diagnostic tool called MeMed BV performed significantly better than a traditional test, with a score of 0.98 in identifying viral infections compared to 0.69 for the traditional test. This is important because it shows that better diagnosis can lead to more accurate treatment, helping doctors make quicker and more informed choices.
Who this helps: This helps patients and doctors by improving the accuracy of infection diagnoses.
How KRAS Mutations Impair Intrinsic GTP Hydrolysis: Experimental and Computational Investigations.
2025
Journal of chemical information and modeling
Song LF, Rabara D, Bali SK, Pei J, Lau EY +5 more
Plain English This study examined how certain mutations in the KRAS gene affect its ability to break down a molecule called GTP, which is important for regulating cell growth. Researchers found that mutations Q61H, G12V, and G12R make this breakdown process much slower—by 7 to over 20 times less efficient—compared to other mutations. Understanding these effects is crucial for creating better cancer treatments that target those mutations directly.
Who this helps: This helps patients with KRAS-mutant cancers and their doctors by improving treatment options.
Host test based on tumor necrosis factor-related apoptosis-inducing ligand, interferon gamma-induced protein-10 and C-reactive protein for differentiating bacterial and viral respiratory tract infections in adults: diagnostic accuracy study.
2023
Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases
Halabi S, Shiber S, Paz M, Gottlieb TM, Barash E +18 more
Plain English This study looked at a blood test that measures levels of three immune proteins to help doctors tell the difference between bacterial and viral infections in adults with respiratory issues. The test, called BV, was used on 415 patients and showed a very high accuracy for identifying bacterial infections, with a 98.1% sensitivity and an 88.4% specificity. This matters because knowing the type of infection can lead to better treatment decisions, especially in emergency settings.
Who this helps: Patients with respiratory infections and the doctors treating them.
Clustering Protein Binding Pockets and Identifying Potential Drug Interactions: A Novel Ligand-Based Featurization Method.
2023
Journal of chemical information and modeling
Stevenson GA, Kirshner D, Bennion BJ, Yang Y, Zhang X +9 more
Plain English This study looked at how proteins in the body interact with drugs and aimed to improve drug discovery by mapping protein binding pockets. Researchers developed a new method to group similar protein targets and predict how more than 7,000 potential drugs might interact with these proteins. This is important because it helps identify which drugs are likely to work effectively while avoiding harmful side effects.
Who this helps: This benefits drug developers and researchers working on new therapies.
Advances in Computational Approaches for Estimating Passive Permeability in Drug Discovery.
2023
Membranes
Bernardi A, Bennett WFD, He S, Jones D, Kirshner D +2 more
Plain English This study looked at new computer-based methods to estimate how easily drugs can pass through cell membranes, which is important for drug development. Researchers explored different techniques, including machine learning and simulations, finding that machine learning methods showed great promise for making fast and accurate predictions about drug permeability. This matters because better predictions can help create more effective medications with fewer side effects.
Who this helps: This helps drug developers and researchers working on new medications.
The association between objective measurements of sleep quality and postural control in adults: A systematic review.
2022
Sleep medicine reviews
Kirshner D, Spiegelhalder K, Shahar RT, Shochat T, Agmon M
Plain English This research looked at how sleep quality affects balance and walking in adults. Out of the 2,967 studies initially found, seven met the criteria, and three showed that better sleep efficiency was linked to faster walking speeds, while three reported that more wake time after falling asleep worsened walking and balance. Understanding this connection matters because it can help improve mobility and prevent falls in people who struggle with sleep issues.
Who this helps: This helps patients dealing with sleep problems and healthcare providers managing their care.
PDBspheres: a method for finding 3D similarities in local regions in proteins.
2022
NAR genomics and bioinformatics
Zemla AT, Allen JE, Kirshner D, Lightstone FC
Plain English This study developed a new method called PDBspheres to find and evaluate similarities in how proteins are shaped, particularly in areas where they bind to other molecules (ligands). The researchers created a library with over 2 million protein structures, which helps identify these binding sites more effectively. By analyzing a set of 2,528 crystal structures, they demonstrated that PDBspheres can accurately locate and characterize these important protein regions.
Who this helps: This research benefits scientists working on drug design and development.
Why Do They Fall? The Impact of Insomnia on Gait of Older Adults: A Case-Control Study.
2021
Nature and science of sleep
Kirshner D, Kizony R, Gil E, Asraf K, Krasovsky T +3 more
Plain English This study looked at how insomnia affects walking and thinking in older adults. It found that older adults with insomnia walked more slowly—about 0.77 meters per second during mental tasks versus 1.14 meters per second for those without insomnia—and they also performed worse on cognitive tests, making fewer correct answers. These slower speeds and reduced cognitive abilities may increase the risk of falls among those with insomnia, highlighting the importance of addressing sleep issues in older adults.
Who this helps: This helps older patients and their healthcare providers understand the impact of insomnia on mobility and cognitive function.
Improved Protein-Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference.
2021
Journal of chemical information and modeling
Jones D, Kim H, Zhang X, Zemla A, Stevenson G +5 more
Plain English This study focused on improving the ability to predict how well drugs (ligands) bind to their target proteins, which is crucial for developing new medications. The researchers combined different advanced models and found that their new "fusion" model was more accurate than traditional methods in predicting binding affinities, outperforming the individual neural network models and existing scoring methods by providing results faster and more effectively. Specifically, the fusion models provided better predictions in situations where the protein structure is not known, which is often the case in drug design.
Who this helps: This research benefits drug developers and researchers working on new treatments.
Discovery of Small-Molecule Inhibitors of SARS-CoV-2 Proteins Using a Computational and Experimental Pipeline.
2021
Frontiers in molecular biosciences
Lau EY, Negrete OA, Bennett WFD, Bennion BJ, Borucki M +26 more
Plain English This research looked for new small-molecule drugs that might help fight the coronavirus (SARS-CoV-2), which causes COVID-19. The team screened a huge library of 26 million potential compounds and found that imatinib and lapatinib were effective at low concentrations, while candesartan cilexetil showed the best selectivity and safety profile, being less toxic at higher doses. These findings are important because they identify promising candidates for treatments that could help control COVID-19 and improve patient outcomes.
Who this helps: This helps patients by providing potential new treatment options.
Exceptionally Long-Lived Individuals (ELLI) Demonstrate Slower Aging Rate Calculated by DNA Methylation Clocks as Possible Modulators for Healthy Longevity.
2020
International journal of molecular sciences
Gutman D, Rivkin E, Fadida A, Sharvit L, Hermush V +5 more
Plain English Researchers studied exceptionally long-lived individuals (ELLI) to understand how their DNA might reflect slower aging compared to others. They found that ELLI had DNA markers indicating they age more slowly, as shown by their younger biological age and better preserved telomeres, which are involved in cellular aging. Specifically, ELLI's DNA methylation profile suggests that it helps them maintain cognitive function and overall health longer than those without a family history of exceptional longevity.
Who this helps: This benefits older patients and those studying healthy aging.
Capture of complexity of specialty care in pediatric cardiology by work RVU measures.
2013
Pediatrics
Bergersen L, Gauvreau K, McElhinney D, Fenwick S, Kirshner D +4 more
Plain English This study looked at how well relative value units (RVUs) reflect the complexity and effort involved in heart procedures for children with congenital heart disease. The researchers found that as the risk of a procedure increased, so did the median RVU values, which ranged from 9 for simpler cases up to 54 for more complex ones. However, RVUs did not accurately represent the time, radiation exposure, or the likelihood of complications, which ranged from 6% to 21% depending on the age group.
Who this helps: This research benefits doctors and healthcare providers by highlighting the need for better measures to assess the complexity of pediatric heart procedures.
Physical binding pocket induction for affinity prediction.
2009
Journal of medicinal chemistry
Langham JJ, Cleves AE, Spitzer R, Kirshner D, Jain AN
Plain English This study focused on a new method for predicting how strongly certain molecules (ligands) bind to proteins, which is important for drug design. The researchers used a technique that created a model of the protein binding site based on existing ligands and their effectiveness. They found that their predictions were quite accurate, with an error margin ranging from 0.5 to 1.0 log units, meaning they could reliably estimate how well new, structurally different ligands would bind.
Who this helps: This benefits researchers and developers in the pharmaceutical industry who are working on new drugs.
Berkeley Phylogenomics Group web servers: resources for structural phylogenomic analysis.
2007
Nucleic acids research
Glanville JG, Kirshner D, Krishnamurthy N, Sjölander K
Plain English This study focuses on a set of online tools developed by the Berkeley Phylogenomics Group that help scientists examine the relationships and functions of proteins more accurately. These tools can classify proteins, align their sequences, and create family trees, improving function prediction. This is important because it enhances our understanding of proteins, which can lead to advancements in areas like drug development and personalized medicine.
Who this helps: This helps researchers and scientists working in biology and medicine.
PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification.
2006
Genome biology
Krishnamurthy N, Brown DP, Kirshner D, Sjölander K
Plain English The study introduced PhyloFacts, an online resource that provides detailed information about nearly 10,000 protein families and their structures, functions, and evolutionary history. This tool helps researchers classify proteins more accurately, avoiding common mistakes when predicting their functions. By integrating various types of experimental data, PhyloFacts improves the understanding of how proteins work and evolve, making it easier for scientists to study them.
Who this helps: This helps researchers and biologists working with proteins in medical and biological research.