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Chodera lab // MSKCC

Changing drug discovery one ratio of partition functions at a time

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Chodera lab // MSKCC

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Featured
kinase-inhibitor-selectivity.jpg
Nov 15, 2016
Kinase inhibitor selectivity and design
Nov 15, 2016

Selective kinase inhibitors---such as the blockbuster drug imatinib---have shown tremendous promise in the treatment of cancers involving kinase dysregulation. Currently, over 27 small molecule targeted kinase inhibitors have received FDA approval, representing a substantial fraction of the $37B U.S.~market for oncology drugs. Despite this, major challenges remain in their widespread application in cancer treatment. To meet these challenges, our laboratory develops quantitative physical models of kinase inhibitor efficacy to accelerate the rational design of kinase inhibitors with desired selectivity profiles, an understanding of mutational mechanisms of resistance, and prediction of drug sensitivity and resistance in individual patient tumors.

Nov 15, 2016
Nov 14, 2016
Predicting drug susceptibility and the emergence of drug resistance
Nov 14, 2016

While there are now over 30 FDA-approved selective kinase inhibitors available for the treatment of cancer, the median progression-free survival is still <1 year for a majority of these drugs. Drug resistance is responsible for >90% of deaths in patients with metastatic cancer. In many of these cases, mutations in the target of therapy drive resistance by abolishing or reducing inhibitor affinity while maintaining or increasing kinase activity.

Nov 14, 2016
Nov 13, 2016
Nanoparticles for targeted drug delivery
Nov 13, 2016

The Heller lab at MSKCC has discovered that poorly soluble kinase inhibitors mixed with specific indocyanine dye excipients will spontaneously form nanoparticles with very high (90% by mass) drug loadings, and that these dyes specifically target certain tumors while maintaining high blood stability. These nanoparticles offer the potential for avoiding both off- and on-pathway toxicities while delivering high quantities of targeted kinase inhibitors directly to tumors.

Nov 13, 2016

 

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Chodera lab // MSKCC

The Chodera lab at the Memorial Sloan-Kettering Cancer Center

RECENT PUBLICATIONS

Featured
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Nov 17, 2024
Prospective evaluation of structure-based simulations reveal their ability to predict the impact of kinase mutations on inhibitor binding
Nov 17, 2024
Nov 17, 2024
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Sep 25, 2024
Nutmeg and SPICE: Models and data for biomolecular machine learning
Sep 25, 2024
Sep 25, 2024
kinoml-lessons-learned.jpg
Sep 10, 2024
Lessons learned during the journey of data: from experiment to model for predicting kinase affinity, selectivity, polypharmacology, and resistance
Sep 10, 2024
Sep 10, 2024
espaloma-0.3.jpg
Jun 26, 2024
Machine-learned molecular mechanics force fields from large-scale quantum chemical data
Jun 26, 2024
Jun 26, 2024

RECENT NEWS

Featured
2025-05-16 Foundry Breakthrough Research poster - thumbnail.jpg
May 19, 2025
ML Foundry AI for Science Symposium
May 19, 2025
May 19, 2025
ellis-logo.jpg
Dec 6, 2024
ELLIS ML4Molecules Workshop in Berlin
Dec 6, 2024
Dec 6, 2024
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Nov 3, 2024
Postdoctoral Fellow Maria A. Castellanos wins poster prize at Computational Medicinal Chemistry School for AlphaFold-based prediction of antiviral spectrum
Nov 3, 2024
Nov 3, 2024

RECENT TWEETS