[HTML][HTML] Machine learning in chemoinformatics and drug discovery

YC Lo, SE Rensi, W Torng, RB Altman - Drug discovery today, 2018 - Elsevier
Rensi and Altman developed a method for computing the similarity of chemical transformations
using Tanimoto kernel embedded fingerprints and extended a fuzzy search capability to …

Chemical reaction vector embeddings: towards predicting drug metabolism in the human gut microbiome

EK Mallory, A Acharya, SE Rensi… - … 2018: Proceedings of …, 2018 - World Scientific
Bacteria in the human gut have the ability to activate, inactivate, and reactivate drugs with
both intended and unintended effects. For example, the drug digoxin is reduced to the inactive …

[PDF][PDF] A mitochondrial inside-out iron-calcium signal reveals drug targets for Parkinson's disease

…, Y Le Guen, P Nandakishore, CH Hsieh, SE Rensi… - Cell reports, 2023 - cell.com
Dysregulated iron or Ca 2+ homeostasis has been reported in Parkinson's disease (PD)
models. Here, we discover a connection between these two metals at the mitochondria. …

Shallow representation learning via Kernel PCA improves QSAR modelability

SE Rensi, RB Altman - Journal of chemical information and …, 2017 - ACS Publications
Linear models offer a robust, flexible, and computationally efficient set of tools for modeling
quantitative structure–activity relationships (QSARs) but have been eclipsed in performance …

Application of MCAT questions as a testing tool and evaluation metric for knowledge graph–based reasoning systems

…, WE Byrd, S Hang, D Koslicki, SE Rensi… - Clinical and …, 2021 - Wiley Online Library
“Knowledge graphs” (KGs) have become a common approach for representing biomedical
knowledge. In a KG, multiple biomedical data sets can be linked together as a graph …

The Value of Scientific Publications in Surgical Device Innovation

A Song, SE Rensi, AG Tarquinio, E Cahan… - Surgical …, 2023 - journals.sagepub.com
Background Clinical trials represent a significant risk in the commercialization of surgical
technologies. There is incentive for companies to mitigate their regulatory risk by targeting …

A Mitochondrial Inside-Out Iron-Calcium Signal Identifies Drug Targets for Parkinson's Disease

…, Y Le Guen, P Nandakishore, CH Hsieh, SE Rensi… - bioRxiv, 2022 - biorxiv.org
Genetic backgrounds and risk factors among individuals with Parkinson’s disease (PD) are
highly heterogenous, limiting our ability to effectively detect and treat PD. Discovering a …

[BOOK][B] Theory and Applications of Kernel Embedded Chemical Structure Representations in Chemoinformatic Analysis

SE Rensi - 2018 - search.proquest.com
Chemical information systems answer questions about chemistry to support decision-making
across the spectrum of investment, research, operations, and governance in industries as …

[HTML][HTML] Homology modeling of TMPRSS2 yields candidate drugs that may inhibit entry of SARS-CoV-2 into human cells.

S Rensi, A Keys, YC Lo, A Derry, G McInnes, T Liu… - ChemRxiv, 2020 - ncbi.nlm.nih.gov
The most rapid path to discovering treatment options for the novel coronavirus SARS-CoV-2
is to find existing medications that are active against the virus. We have focused on …

A new era in pharmacovigilance: Toward real‐world data and digital monitoring

…, KM Giacomini, R Altman, S Rensi - Clinical …, 2021 - Wiley Online Library
Adverse drug reactions (ADRs) are a major concern for patients, clinicians, and regulatory
agencies. The discovery of serious ADRs leading to substantial morbidity and mortality has …