Stanford Advisors


Current Research and Scholarly Interests


Computational drug discovery

All Publications


  • Is Multitask Deep Learning Practical for Pharma? Journal of chemical information and modeling Ramsundar, B., Liu, B., Wu, Z., Verras, A., Tudor, M., Sheridan, R. P., Pande, V. 2017; 57 (8): 2068–76

    Abstract

    Multitask deep learning has emerged as a powerful tool for computational drug discovery. However, despite a number of preliminary studies, multitask deep networks have yet to be widely deployed in the pharmaceutical and biotech industries. This lack of acceptance stems from both software difficulties and lack of understanding of the robustness of multitask deep networks. Our work aims to resolve both of these barriers to adoption. We introduce a high-quality open-source implementation of multitask deep networks as part of the DeepChem open-source platform. Our implementation enables simple python scripts to construct, fit, and evaluate sophisticated deep models. We use our implementation to analyze the performance of multitask deep networks and related deep models on four collections of pharmaceutical data (three of which have not previously been analyzed in the literature). We split these data sets into train/valid/test using time and neighbor splits to test multitask deep learning performance under challenging conditions. Our results demonstrate that multitask deep networks are surprisingly robust and can offer strong improvement over random forests. Our analysis and open-source implementation in DeepChem provide an argument that multitask deep networks are ready for widespread use in commercial drug discovery.

    View details for DOI 10.1021/acs.jcim.7b00146

    View details for PubMedID 28692267

  • Lighting up sugars: fluorescent BODIPY-gluco-furanose and -septanose conjugates linked by direct B-O-C bonds ORGANIC & BIOMOLECULAR CHEMISTRY Liu, B., Novikova, N., Simpson, M. C., Timmer, M. S., Stocker, B. L., Sohnel, T., Ware, D. C., Brothers, P. J. 2016; 14 (23): 5205-5209

    Abstract

    We report the first O-BODIPY-glucose conjugates, in which the sugar is directly attached to the BODIPY boron through covalent B-O-C bonds. The reaction of Cl-BODIPY with glucose in acetonitrile produced the 1 : 1 α-glucofuranose BODIPY (1), 1 : 2 α-glucofuranose BODIPY (2) and 1 : 2 α-glucoseptanose BODIPY (3) esters. Compound 3 is a rare instance of the unnatural septanose form of glucose, and the first example of a septanose borate.

    View details for DOI 10.1039/c6ob00726k

    View details for Web of Science ID 000378512400002

    View details for PubMedID 27205874