Lista de obras - Floriane Montanari - Dominio Público Uruguay

11th German Conference on Chemoinformatics (GCC 2015) : Fulda, Germany. 8-10 November 2015.

artículo científico publicado en 2016

A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven p<i>K</i><sub>a</sub> Predictions in Proteins

artículo científico publicado en 2022

BCRP Inhibition: from Data Collection to Ligand-Based Modeling

artículo científico publicado en 2014

Bayer's in silico ADMET platform: a journey of machine learning over the past two decades

artículo científico publicado en 2020

Differences in the number of intrinsically disordered regions between yeast duplicated proteins, and their relationship with functional divergence

artículo científico publicado en 2011

Efficient Multi-Objective Molecular Optimization in a Continuous Latent Space

Efficient multi-objective molecular optimization in a continuous latent space

artículo científico publicado en 2019

Exploiting open data: a new era in pharmacoinformatics

artículo científico publicado en 2014

Flagging Drugs That Inhibit the Bile Salt Export Pump

artículo científico publicado en 2015

How Open Data Shapes In Silico Transporter Modeling

artículo científico publicado en 2017

Img2Mol – accurate SMILES recognition from molecular graphical depictions

artículo científico publicado en 2021

Integrative Modeling Strategies for Predicting Drug Toxicities at the eTOX Project

artículo científico publicado en 2015

Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations

Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations

article

Modeling Physico-Chemical ADMET Endpoints With Multitask Graph Convolutional Networks

Modeling Physico-Chemical ADMET Endpoints with Multitask Graph Convolutional Networks

artículo científico publicado en 2019

Predicting drug-induced liver injury: The importance of data curation

artículo científico publicado en 2017

Prediction of drug-ABC-transporter interaction--Recent advances and future challenges.

artículo científico

Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning

artículo científico publicado en 2016

Subtle Structural Differences Trigger Inhibitory Activity of Propafenone Analogues at the Two Polyspecific ABC Transporters: P-Glycoprotein (P-gp) and Breast Cancer Resistance Protein (BCRP).

artículo científico publicado en 2016

The ABC of Phytohormone Translocation.

artículo científico publicado en 2015

Vienna LiverTox Workspace-A Set of Machine Learning Models for Prediction of Interactions Profiles of Small Molecules With Transporters Relevant for Regulatory Agencies

scientific article published on 01 January 2019

Virtual Screening of DrugBank Reveals Two Drugs as New BCRP Inhibitors

Virtual-screening workflow tutorials and prospective results from the Teach-Discover-Treat competition 2014 against malaria

artículo científico publicado en 2017

Lista de obras de Floriane Montanari

11th German Conference on Chemoinformatics (GCC 2015) : Fulda, Germany. 8-10 November 2015.

A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven p<i>K</i><sub>a</sub> Predictions in Proteins

BCRP Inhibition: from Data Collection to Ligand-Based Modeling

Bayer's in silico ADMET platform: a journey of machine learning over the past two decades

Differences in the number of intrinsically disordered regions between yeast duplicated proteins, and their relationship with functional divergence

Efficient Multi-Objective Molecular Optimization in a Continuous Latent Space

Efficient multi-objective molecular optimization in a continuous latent space

Exploiting open data: a new era in pharmacoinformatics

Flagging Drugs That Inhibit the Bile Salt Export Pump

How Open Data Shapes In Silico Transporter Modeling

Img2Mol – accurate SMILES recognition from molecular graphical depictions

Integrative Modeling Strategies for Predicting Drug Toxicities at the eTOX Project

Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations

Learning continuous and data-driven molecular descriptors by translating equivalent chemical representations

Modeling Physico-Chemical ADMET Endpoints With Multitask Graph Convolutional Networks

Modeling Physico-Chemical ADMET Endpoints with Multitask Graph Convolutional Networks

Predicting drug-induced liver injury: The importance of data curation

Prediction of drug-ABC-transporter interaction--Recent advances and future challenges.

Selectivity profiling of BCRP versus P-gp inhibition: from automated collection of polypharmacology data to multi-label learning

Subtle Structural Differences Trigger Inhibitory Activity of Propafenone Analogues at the Two Polyspecific ABC Transporters: P-Glycoprotein (P-gp) and Breast Cancer Resistance Protein (BCRP).

The ABC of Phytohormone Translocation.

Vienna LiverTox Workspace-A Set of Machine Learning Models for Prediction of Interactions Profiles of Small Molecules With Transporters Relevant for Regulatory Agencies

Virtual Screening of DrugBank Reveals Two Drugs as New BCRP Inhibitors

Virtual-screening workflow tutorials and prospective results from the Teach-Discover-Treat competition 2014 against malaria