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pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures

Journal of medicinal chemistry, 2015-05, Vol.58 (9), p.4066-4072

2015

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DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations

Protein science, 2021-01, Vol.30 (1), p.60-69

2021

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

Journal of chemical information and modeling, 2020-07, Vol.60 (7), p.3450-3456

2020

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

Nucleic acids research, 2018-07, Vol.46 (W1), p.W350-W355

2018

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

Nucleic acids research, 2014-07, Vol.42 (Web Server issue), p.W314-W319

2014

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Preventing Digital Overdiagnosis

JAMA : the journal of the American Medical Association, 2022-02, Vol.327 (6), p.525

2022

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

Bioinformatics, 2014-02, Vol.30 (3), p.335-342

2014

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A structural biology community assessment of AlphaFold2 applications

Nature structural & molecular biology, 2022-11, Vol.29 (11), p.1056-1067

2022

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

Nucleic acids research, 2016-07, Vol.44 (W1), p.W469-W473

2016

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

Nucleic acids research, 2016-07, Vol.44 (W1), p.W557-W561

2016

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Understanding and predicting the functional consequences of missense mutations in BRCA1 and BRCA2

Scientific reports, 2022-06, Vol.12 (1), p.10458-10458, Article 10458

2022

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

Nucleic acids research, 2019-07, Vol.47 (W1), p.W338-W344

2019

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

Nucleic acids research, 2017-07, Vol.45 (W1), p.W241-W246

2017

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

Nucleic acids research, 2021-07, Vol.49 (W1), p.W417-W424

2021

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Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT

BMC bioinformatics, 2022-01, Vol.23 (1), p.4-4, Article 4

2022

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

Journal of chemical information and modeling, 2021-07, Vol.61 (7), p.3314-3322

2021

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

Nucleic acids research, 2020-07, Vol.48 (W1), p.W147-W153

2020

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Prediction and Optimization of Pharmacokinetic and Toxicity Properties of the Ligand

Methods in molecular biology (Clifton, N.J.), 2018-01, Vol.1762, p.271

2018

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mCSM-lig: quantifying the effects of mutations on protein-small molecule affinity in genetic disease and emergence of drug resistance

Scientific reports, 2016-07, Vol.6 (1), p.29575-29575, Article 29575

2016

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

Nucleic acids research, 2023-07, Vol.51 (W1), p.W122-W128

2023

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Artificial Intelligence and Deep Learning for Rheumatologists

Arthritis & rheumatology (Hoboken, N.J.), 2022-12, Vol.74 (12), p.1893-1905

2022

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Human LC3 and GABARAP subfamily members achieve functional specificity via specific structural modulations

Autophagy, 2020-02, Vol.16 (2), p.239-255

2020

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Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource

Nature genetics, 2020-10, Vol.52 (10), p.999-1001

2020

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Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches

Scientific reports, 2020-10, Vol.10 (1), p.18120-18120, Article 18120

2020

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Widespread remodeling of proteome solubility in response to different protein homeostasis stresses

Proceedings of the National Academy of Sciences - PNAS, 2020-02, Vol.117 (5), p.2422-2431

2020

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pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures

DynaMut2: Assessing changes in stability and flexibility upon single and multiple point missense mutations

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

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

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

Preventing Digital Overdiagnosis

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

A structural biology community assessment of AlphaFold2 applications

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

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

Understanding and predicting the functional consequences of missense mutations in BRCA1 and BRCA2

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

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

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

Large-scale protein-protein post-translational modification extraction with distant supervision and confidence calibrated BioBERT

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

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

Prediction and Optimization of Pharmacokinetic and Toxicity Properties of the Ligand

mCSM-lig: quantifying the effects of mutations on protein-small molecule affinity in genetic disease and emergence of drug resistance

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

Artificial Intelligence and Deep Learning for Rheumatologists

Human LC3 and GABARAP subfamily members achieve functional specificity via specific structural modulations

Exploring the structural distribution of genetic variation in SARS-CoV-2 with the COVID-3D online resource

Prediction of rifampicin resistance beyond the RRDR using structure-based machine learning approaches

Widespread remodeling of proteome solubility in response to different protein homeostasis stresses

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