WorldCat Identities

Tramontano, Anna

Works: 11 works in 70 publications in 3 languages and 1,235 library holdings
Roles: Author, dgs, Contributor
Publication Timeline
Most widely held works by Anna Tramontano
Protein structure prediction : concepts and applications by Anna Tramontano( Book )

14 editions published between 2005 and 2006 in English and held by 347 WorldCat member libraries worldwide

"While most textbooks on bioinformatics focus on algorithms and treat protein structure prediction only superficially, this book assumes a unique focus. Adopting a didactic approach, the author explains all the current methods in terms of their reliability, limitations and user-friendliness. She provides practical examples to help first-time users become familiar with the possibilities and pitfalls of computer-based structure predictions, making this a must-have for students and researchers."--Jacket
The ten most wanted solutions in protein bioinformatics by Anna Tramontano( Book )

21 editions published in 2005 in English and held by 347 WorldCat member libraries worldwide

Utilizing high speed computational methods to extrapolate to the rest of the protein universe, the knowledge accumulated on a subset of examples, protein bioinformatics seeks to accomplish what was impossible before its invention, namely the assignment of functions or functional hypotheses for all known proteins. The Ten Most Wanted Solutions in Protein Bioinformatics considers the ten most significant problems occupying those looking to identify the biological properties and functional roles of proteins.-Problem One considers the challenge involved with detecting the existence of an evolutionary relationship between proteins.-Two and Three studies the detection of local similarities between protein sequences and analysis in order to determine functional assignment.-Four, Five, and Six look at how the knowledge of the three-dimensional structures of proteins can be experimentally determined or inferred, and then exploited to understand the role of a protein.-Seven and Eight explore how proteins interact with each other and with ligands, both physically and logically.-Nine moves us out of the realm of observation to discuss the possibility of designing completely new proteins tailored to specific tasks.-And lastly, Problem Ten considers ways to modify the functional properties of proteins. After summarizing each problem, the author looks at and evaluates the current approaches being utilized, before going on to consider some potential approaches. introbul>Features
Introduction to bioinformatics by Anna Tramontano( Book )

14 editions published between 2006 and 2018 in English and held by 309 WorldCat member libraries worldwide

Publisher description: Presenting an overview of basic methods, Introduction to Bioinformatics provides information that guides readers from elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular function. The author emphasizes the basic principles that underlie the methods, rather than tools and discusses the limitations and range of applicability for each methodology. The treatment includes material on proteomics that is not found in any other basic bioinformatics textbook. Requiring only a limited mathematical and statistical background, the text includes references to historical and key articles while offering pointers to useful Internet sites
Managing your biological data with Python by Allegra Via( )

13 editions published in 2014 in English and held by 208 WorldCat member libraries worldwide

Sequence from a Multiple Sequence Alignment Recipe 6: Calculating the Distance between Phylogenetic Tree Nodes Recipe 7: Codon Frequencies in a Nucleotide Sequence Recipe 8: Parsing RNA 2D Structures in the Vienna FormatRecipe 9: Parsing BLAST XML OutputRecipe 10: Parsing SBML Files Recipe 11: Running BLAST Recipe 12: Accessing, Downloading, and Reading Web Pages in Python Recipe 13: Parsing HTML Files Recipe 14: Split a PDB File into PDB Chain Files Recipe 15: Find the Two Closest C<U+00dc> Atoms in a PDB Structure Recipe 16: Extract the Interface between Two PDB ChainsRecipe 17: Building Homology Models Using Modeller Recipe 18: RNA 3D Homology Modeling with ModeRNA Recipe 19: Calculating RNA Base Pairs from a 3D Structure Recipe 20: A Real Case of Structural Superimposition: The Serine Protease Catalytic TriadAppendix A: Command OverviewAppendix B: Python ResourcesAppendix C: Record SamplesAppendix D: Handling Directories and Programs with UNIX
Bioinformatica by Anna Tramontano( Book )

2 editions published in 2002 in Italian and held by 19 WorldCat member libraries worldwide

Python sheng wu xin xi xue shu ju guan li = Managing your biological data with Python by Allegra Via( Book )

1 edition published in 2017 in Chinese and held by 1 WorldCat member library worldwide

Ben shu you liu bu fen zu cheng:Python yu yan ji ben jie shao, Yu yan suo you cheng fen jie shao, Gao ji bian cheng, Shu ju ke shi hua, Sheng wu xin xi tong yong bao Biopython, Zui hou ji chu 20 ge"bian cheng mi ji", Fan wei han gai le cong er ji jie gou yu ce, Duo xu lie bi dui dao dan bai zhi san wei jie gou de guang fan hua ti. Ci wai, Fu lu hai bao kuo le da liang de sheng wu xin xi chang yong zi yuan de xin xi
The computational prediction of protein assemblies( )

1 edition published in 2017 in English and held by 1 WorldCat member library worldwide

Graphical abstract: Highlights: The plasticity of protein assemblies poses challenges to methods for their analysis and prediction. Most computational methods are based on evolutionary considerations, network analysis, automatic learning and docking approaches. Recent community based assessments of methods indicate that more effort is required to improve the quality of the computational inference of protein complexes. Abstract : The function of proteins in the cell is almost always mediated by their interaction with different partners, including other proteins, nucleic acids or small organic molecules. The ability of identifying all of them is an essential step in our quest for understanding life at the molecular level. The inference of the protein complex composition and of its molecular details can also provide relevant clues for the development and the design of drugs. In this short review, I will discuss the computational aspects of the analysis and prediction of protein-protein assemblies and discuss some of the most recent developments as seen in the last Critical Assessment of Techniques for Protein Structure Prediction (CASP) experiment
Cover Image, Volume 84, Issue S1( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Abstract : Structural superposition of the model T0766TS160_2 (magenta) and CASP11 target T0766 (cyan); The poorly modeled strand‐turn‐strand‐helix motif (residues 52–64) is detected by the accuracy estimator ModFOLD‐single59 (green), with predicted main chain accuracy closely tracking the actual error curve (blue) (red, difference between the estimated and actual error)., DOI:10.1002/prot.25064
Computational engineering of co-substrate specificity in protein kinases by Valentina Romano( )

1 edition published in 2016 in English and held by 1 WorldCat member library worldwide

Exploiting Publicly Available Biological and Biochemical Information for the Discovery of Novel Short Linear Motifs by Ahmed Sayadi( )

1 edition published in 2011 in English and held by 1 WorldCat member library worldwide

Sequences and topology( Book )

1 edition published in 2005 in English and held by 0 WorldCat member libraries worldwide

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  Kids General Special  
Audience level: 0.64 (from 0.60 for Introducti ... to 1.00 for Sequences ...)

Protein structure prediction : concepts and applications
The ten most wanted solutions in protein bioinformaticsIntroduction to bioinformatics
Alternative Names
Anna Tramontano Italian computational biologist

Anna Tramontano italská počítačová bioložka