David B. Ascher

According to our database, David B. Ascher authored at least 47 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

piscesCSM: prediction of anticancer synergistic drug combinations.

Raghad Al-Jarf, Carlos H. M. Rodrigues, Yoochan Myung, Douglas E. V. Pires, David B. Ascher

J. Cheminformatics, December, 2024

Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction.

Alex G. C. de Sá, David B. Ascher

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Characterization on the oncogenic effect of the missense mutations of p53 via machine learning.

Qisheng Pan, Stephanie Portelli, Thanh-Binh Nguyen, David B. Ascher

Briefings Bioinform., November, 2023

DDMut: predicting effects of mutations on protein stability using deep learning.

Yunzhuo Zhou, Qisheng Pan, Douglas E. V. Pires, Carlos H. M. Rodrigues, David B. Ascher

Nucleic Acids Res., July, 2023

epitope1D: accurate taxonomy-aware B-cell linear epitope prediction.

Bruna Moreira da Silva, David B. Ascher, Douglas E. V. Pires

Briefings Bioinform., May, 2023

embryoTox: Using Graph-Based Signatures to Predict the Teratogenicity of Small Molecules.

Raghad Al-Jarf, Simon Tang, Douglas E. V. Pires, David B. Ascher

J. Chem. Inf. Model., January, 2023

DockNet: high-throughput protein-protein interface contact prediction.

Nathan P. Williams, Carlos H. M. Rodrigues, Jia Truong, David B. Ascher, Jessica K. Holien

Bioinform., January, 2023

Explainable Machine Learning for ICU Readmission Prediction.

Alex G. C. de Sá, Daniel Gould, Anna Fedyukova, Mitchell Nicholas, Lucy Dockrell, Calvin Fletcher, David Pilcher, Daniel Capurro, David B. Ascher, Khaled El-Khawas, Douglas E. V. Pires

CoRR, 2023

AI driven B-cell Immunotherapy Design.

Bruna Moreira da Silva, David B. Ascher, Nicholas Geard, Douglas E. V. Pires

CoRR, 2023

2022

Known allosteric proteins have central roles in genetic disease.

György Abrusán, David B. Ascher, Michael Inouye

PLoS Comput. Biol., 2022

CSM-Potential: mapping protein interactions and biological ligands in 3D space using geometric deep learning.

Carlos H. M. Rodrigues, David B. Ascher

Nucleic Acids Res., 2022

<i>cardioToxCSM</i>: A Web Server for Predicting Cardiotoxicity of Small Molecules.

Saba Iftkhar, Alex G. C. de Sá, João P. L. Velloso, Raghad Al-Jarf, Douglas E. V. Pires, David B. Ascher

J. Chem. Inf. Model., 2022

Bioinformatics Approaches to Predict Mutation Effects in the Binding Site of the Proangiogenic Molecule CD93.

Vittoria Cicaloni, Malancha Karmakar, Luisa Frusciante, Francesco Pettini, Anna Visibelli, Maurizio Orlandini, Federico Galvagni, Maurizio Mongiat, Michael Silk, Federica Nardi, David B. Ascher, Annalisa Santucci, Ottavia Spiga

Frontiers Bioinform., 2022

CSM-AB: graph-based antibody-antigen binding affinity prediction and docking scoring function.

Yoochan Myung, Douglas E. V. Pires, David B. Ascher

Bioinform., 2022

epitope3D: a machine learning method for conformational B-cell epitope prediction.

Bruna Moreira da Silva, Yoochan Myung, David B. Ascher, Douglas E. V. Pires

Briefings Bioinform., 2022

toxCSM: comprehensive prediction of small molecule toxicity profiles.

Alex G. C. de Sá, Yangyang Long, Stephanie Portelli, Douglas E. V. Pires, David B. Ascher

Briefings Bioinform., 2022

Structural landscapes of PPI interfaces.

Carlos H. M. Rodrigues, Douglas E. V. Pires, Tom L. Blundell, David B. Ascher

Briefings Bioinform., 2022

Evaluating hierarchical machine learning approaches to classify biological databases.

Pâmela M. Rezende, Joicymara S. Xavier, David B. Ascher, Gabriel R. Fernandes, Douglas E. V. Pires

Briefings Bioinform., 2022

cropCSM: designing safe and potent herbicides with graph-based signatures.

Douglas E. V. Pires, Keith A. Stubbs, Joshua S. Mylne, David B. Ascher

Briefings Bioinform., 2022

Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structures.

Qisheng Pan, Thanh-Binh Nguyen, David B. Ascher, Douglas E. V. Pires

Briefings Bioinform., 2022

GASS-Metal: identifying metal-binding sites on protein structures using genetic algorithms.

Vinícius de Almeida Paiva, Murillo Ventura Mendonça, Sabrina de Azevedo Silveira, David B. Ascher, Douglas E. V. Pires, Sandro C. Izidoro

Briefings Bioinform., 2022

CSM-carbohydrate: protein-carbohydrate binding affinity prediction and docking scoring function.

Thanh-Binh Nguyen, Douglas E. V. Pires, David B. Ascher

Briefings Bioinform., 2022

2021

ThermoMutDB: a thermodynamic database for missense mutations.

Joicymara S. Xavier, Thanh-Binh Nguyen, Malancha Karmarkar, Stephanie Portelli, Pâmela M. Rezende, João P. L. Velloso, David B. Ascher, Douglas E. V. Pires

Nucleic Acids Res., 2021

MTR3D: identifying regions within protein tertiary structures under purifying selection.

Michael Silk, Douglas E. V. Pires, Carlos H. M. Rodrigues, Elston N. D'souza, Moshe Olshansky, Natalie Thorne, David B. Ascher

Nucleic Acids Res., 2021

mmCSM-PPI: predicting the effects of multiple point mutations on protein-protein interactions.

Carlos H. M. Rodrigues, Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2021

pdCSM-PPI: Using Graph-Based Signatures to Identify Protein-Protein Interaction Inhibitors.

Carlos H. M. Rodrigues, Douglas E. V. Pires, David B. Ascher

J. Chem. Inf. Model., 2021

pdCSM-cancer: Using Graph-Based Signatures to Identify Small Molecules with Anticancer Properties.

Raghad Al-Jarf, Alex G. C. de Sá, Douglas E. V. Pires, David B. Ascher

J. Chem. Inf. Model., 2021

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.

Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Eibe Frank

Comput. Biol. Medicine, 2021

Assessing the performance of computational predictors for estimating protein stability changes upon missense mutations.

Shahid Iqbal, Fuyi Li, Tatsuya Akutsu, David B. Ascher, Geoffrey I. Webb, Jiangning Song

Briefings Bioinform., 2021

Identifying Genotype-Phenotype Correlations via Integrative Mutation Analysis.

Edward Airey, Stephanie Portelli, Joicymara S. Xavier, Yoochan Myung, Michael Silk, Malancha Karmakar, João P. L. Velloso, Carlos H. M. Rodrigues, Hardik H. Parate, Anjali Garg, Raghad Al-Jarf, Lucy Barr, Juliana A. Geraldo, Pâmela M. Rezende, Douglas E. V. Pires, David B. Ascher

Proceedings of the Artificial Neural Networks - Third Edition., 2021

2020

mCSM-membrane: predicting the effects of mutations on transmembrane proteins.

Douglas E. V. Pires, Carlos H. M. Rodrigues, David B. Ascher

Nucleic Acids Res., 2020

mmCSM-AB: guiding rational antibody engineering through multiple point mutations.

Yoochan Myung, Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2020

ProCarbDB: a database of carbohydrate-binding proteins.

Liviu Copoiu, Pedro H. M. Torres, David B. Ascher, Tom L. Blundell, Sony Malhotra

Nucleic Acids Res., 2020

mycoCSM: Using Graph-Based Signatures to Identify Safe Potent Hits against Mycobacteria.

Douglas E. V. Pires, David B. Ascher

J. Chem. Inf. Model., 2020

EasyVS: a user-friendly web-based tool for molecule library selection and structure-based virtual screening.

Douglas E. V. Pires, Wandré N. P. Veloso, Yoochan Myung, Carlos H. M. Rodrigues, Michael Silk, Pâmela M. Rezende, Francislon Silva, Joicymara S. Xavier, João P. L. Velloso, Carlos Henrique da Silveira, David B. Ascher

Bioinform., 2020

mCSM-AB2: guiding rational antibody design using graph-based signatures.

Yoochan Myung, Carlos H. M. Rodrigues, David B. Ascher, Douglas E. V. Pires

Bioinform., 2020

2019

MTR-Viewer: identifying regions within genes under purifying selection.

Michael Silk, Slavé Petrovski, David B. Ascher

Nucleic Acids Res., 2019

mCSM-PPI2: predicting the effects of mutations on protein-protein interactions.

Carlos H. M. Rodrigues, Yoochan Myung, Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2019

2018

DynaMut: predicting the impact of mutations on protein conformation, flexibility and stability.

Carlos H. M. Rodrigues, Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2018

Kinact: a computational approach for predicting activating missense mutations in protein kinases.

Carlos H. M. Rodrigues, David B. Ascher, Douglas E. V. Pires

Nucleic Acids Res., 2018

2017

mCSM-NA: predicting the effects of mutations on protein-nucleic acids interactions.

Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2017

SDM: a server for predicting effects of mutations on protein stability.

Arun Prasad Pandurangan, Bernardo Ochoa-Montaño, David B. Ascher, Tom L. Blundell

Nucleic Acids Res., 2017

2016

CSM-lig: a web server for assessing and comparing protein-small molecule affinities.

Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2016

mCSM-AB: a web server for predicting antibody-antigen affinity changes upon mutation with graph-based signatures.

Douglas E. V. Pires, David B. Ascher

Nucleic Acids Res., 2016

2015

Platinum: a database of experimentally measured effects of mutations on structurally defined protein-ligand complexes.

Douglas E. V. Pires, Tom L. Blundell, David B. Ascher

Nucleic Acids Res., 2015

2014

DUET: a server for predicting effects of mutations on protein stability using an integrated computational approach.

Douglas E. V. Pires, David B. Ascher, Tom L. Blundell

Nucleic Acids Res., 2014

mCSM: predicting the effects of mutations in proteins using graph-based signatures.

Douglas E. V. Pires, David B. Ascher, Tom L. Blundell

Bioinform., 2014