Search Results - "Masso, Majid" :: K.UTB vyhledávací portál

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All-Atom Four-Body Knowledge-Based Statistical Potentials to Distinguish Native Protein Structures from Nonnative Folds

by Masso, Majid
Published in BioMed research international (01.01.2017)

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Sequence-Based Predictive Models of Resistance to HIV-1 Integrase Inhibitors: An n-Grams Approach to Phenotype Assessment

by Masso, Majid
Published in Current HIV research (01.01.2015)

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Modeling functional changes to Escherichia coli thymidylate synthase upon single residue replacements: a structure-based approach

by Masso, Majid
Published in PeerJ (San Francisco, CA) (08.01.2015)

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AUTO-MUTE 2.0: A Portable Framework with Enhanced Capabilities for Predicting Protein Functional Consequences upon Mutation

by Masso, Majid, Vaisman, Iosif I.
Published in Advances in Bioinformatics (2014)

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Modeling transcriptional activation changes to Gal4 variants via structure-based computational mutagenesis

by Masso, Majid, Rao, Nitin, Pyarasani, Purnima
Published in PeerJ (San Francisco, CA) (29.05.2018)

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Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage

by Masso, Majid, Vaisman, Iosif I
Published in BMC bioinformatics (05.10.2010)

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Fitness of unregulated human Ras mutants modeled by implementing computational mutagenesis and machine learning techniques

by Masso, Majid, Bansal, Arnav, Prem, Preethi, Gajjala, Akhil, Vaisman, Iosif I.
Published in Heliyon (01.06.2019)

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Accurate and efficient structure-based computational mutagenesis for modeling fluorescence levels of Aequorea victoria green fluorescent protein mutants

by Masso, Majid
Published in Protein engineering, design and selection (14.09.2020)

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All-atom four-body knowledge-based statistical potential to distinguish native tertiary RNA structures from nonnative folds

by Masso, Majid
Published in Journal of theoretical biology (14.09.2018)

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An Atomic Four-Body Statistical Potential to Distinguish Native RNA Structures from Nonnative Folds

by Masso, Majid
Published in Biophysical journal (02.02.2018)

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Active Participation in Current Faculty Research Inspires Student Achievement

by Masso, Majid
Published in PRIMUS : problems, resources, and issues in mathematics undergraduate studies (16.03.2022)

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Corrigendum to “All-Atom Four-Body Knowledge-Based Statistical Potentials to Distinguish Native Protein Structures from Nonnative Folds”

by Masso, Majid
Published in BioMed research international (2018)

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A Multibody Atomic Statistical Potential for Predicting Enzyme-Inhibitor Binding Energy

by Masso, Majid
Published in Biophysical journal (29.01.2013)

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Accurate prediction of stability changes in protein mutants by combining machine learning with structure based computational mutagenesis

by Masso, Majid, Vaisman, Iosif I.
Published in Bioinformatics (15.09.2008)

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Structure-based functional analysis of BRCA1 RING domain variants: Concordance of computational mutagenesis, experimental assay, and clinical data

by Masso, Majid, Bansal, Anirudh, Bansal, Arnav, Henderson, Andrea
Published in Biophysical chemistry (01.11.2020)

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Four-body atomic potential for modeling protein-ligand binding affinity: application to enzyme-inhibitor binding energy prediction

by Masso, Majid
Published in BMC structural biology (2013)

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Knowledge-based computational mutagenesis for predicting the disease potential of human non-synonymous single nucleotide polymorphisms

by Masso, Majid, Vaisman, Iosif I.
Published in Journal of theoretical biology (21.10.2010)

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Cancer-Ml: Modeling Fitness of Unregulated RAS Mutants using Computational Mutagenesis and Machine Learning

by Masso, Majid, Bansal, Arnav, Gajjala, Akhil, Prem, Preethi, Vaisman, Iosif I.
Published in Biophysical journal (15.02.2019)

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Sequence and structure based models of HIV-1 protease and reverse transcriptase drug resistance

by Masso, Majid, Vaisman, Iosif I
Published in BMC genomics (2013)

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AUTO-MUTE: web-based tools for predicting stability changes in proteins due to single amino acid replacements

by Masso, Majid, Vaisman, Iosif I.
Published in Protein engineering, design and selection (01.08.2010)

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