WorldCat Identities

Fernández, Ariel 1957-

Works: 6 works in 53 publications in 2 languages and 964 library holdings
Roles: Author, Other, htt, Contributor
Publication Timeline
Most widely held works by Ariel Fernández
Transformative concepts for drug design : target wrapping by Ariel Fernández( )

20 editions published between 2009 and 2014 in English and German and held by 457 WorldCat member libraries worldwide

In spite of the enticing promises of the post-genomic era, the pharmaceutical world is in a state of disarray. Drug discovery seems now riskier and more uncertain than ever. Thus, projects get routinely terminated in mid-stage clinical trials, new targets are getting harder to find, and successful therapeutic agents are often recalled as unanticipated side effects are discovered. Exploiting the huge output of genomic studies to make safer drugs has proven to be much more difficult than anticipated. More than ever, the lead in the pharmaceutical industry depends on the ability to harness innovative research, and this type of innovation can only come from one source: fundamental knowledge. This book squarely addresses this crucial problem since it introduces fundamental discoveries in basic biomolecular research that hold potential to broaden the technological base of the pharmaceutical industry. The book takes a fresh and fundamental look at the problem of how to design an effective drug with controlled specificity. Since the novel transformative concepts are unfamiliar to most practitioners, the first part of this book explains matters very carefully starting from a fairly elementary physico-chemical level. The second part of the book is devoted to practical applications, aiming at nothing less than a paradigm shift in drug design. This book is addressed to scientists working at the cutting edge of research in the pharmaceutical industry, but the material is at the same time accessible to senior undergraduates or graduate students interested in drug discovery and molecular design
A mathematical approach to protein biophysics by L. Ridgway Scott( )

14 editions published between 2017 and 2018 in English and held by 255 WorldCat member libraries worldwide

This book explores quantitative aspects of protein biophysics and attempts to delineate certain rules of molecular behavior that make atomic scale objects behave in a digital way. This book will help readers to understand how certain biological systems involving proteins function as digital information systems despite the fact that underlying processes are analog in nature. The in-depth explanation of proteins from a quantitative point of view and the variety of level of exercises (including physical experiments) at the end of each chapter will appeal to graduate and senior undergraduate students in mathematics, computer science, mechanical engineering, and physics, wanting to learn about the biophysics of proteins. L. Ridgway Scott has been Professor of Computer Science and of Mathematics at the University of Chicago since 1998, and the Louis Block Professor since 2001. He obtained a B.S. degree (Magna Cum Laude) from Tulane University in 1969 and a PhD degree in Mathematics from the Massachusetts Institute of Technology in 1973. Professor Scott has published over 130 papers and three books, extending over biophysics, parallel computing and fundamental computing aspects of structural mechanics, fluid dynamics, nuclear engineering, and computational chemistry. Ariel Fernández (born Ariel Fernández Stigliano) is an Argentinian-American physical chemist and mathematician. He obtained his Ph. D. degree in Chemical Physics from Yale University and held the Karl F. Hasselmann Endowed Chair Professorship in Bioengineering at Rice University. He is currently involved in research and entrepreneurial activities at various consultancy firms. Ariel Fernández authored three books on translational medicine and biophysics, and published 360 papers in professional journals. He holds two patents in the field of biotechnology
Physics at the biomolecular interface : fundamentals for molecular targeted therapy by Ariel Fernández( )

11 editions published between 2016 and 2018 in English and held by 240 WorldCat member libraries worldwide

This book focuses primarily on the role of interfacial forces in understanding biological phenomena at the molecular scale. By providing a suitable statistical mechanical apparatus to handle the biomolecular interface, the book becomes uniquely positioned to address core problems in molecular biophysics. It highlights the importance of interfacial tension in delineating a solution to the protein folding problem, in unravelling the physico-chemical basis of enzyme catalysis and protein associations, and in rationally designing molecular targeted therapies. Thus grounded in fundamental science, the book develops a powerful technological platform for drug discovery, while it is set to inspire scientists at any level in their careers determined to address the major challenges in molecular biophysics. The acknowledgment of how exquisitely the structure and dynamics of proteins and their aqueous environment are related attests to the overdue recognition that biomolecular phenomena cannot be
Artificial intelligence platform for molecular targeted therapy : a translational science approach by Ariel Fernández( )

6 editions published between 1901 and 2022 in English and held by 8 WorldCat member libraries worldwide

"In the era of big biomedical data, there are many ways in which artificial intelligence (AI) is likely to broaden the technological base of the pharmaceutical industry. Cheminformatic applications of AI involving the parsing of chemical space are already being implemented to infer compound properties and activity. By contrast, dynamic aspects of the design of drug/target interfaces have received little attention due to the inherent difficulties in dealing with physical phenomena that often do not conform to simplifying views. This book focuses precisely on dynamic drug/target interfaces and argues that the true game change in pharmaceutical discovery will come as AI is enabled to solve core problems in molecular biophysics that are intimately related to rational drug design and drug discovery. Here are a few examples to convey the flavor of our quest: How do we therapeutically impair a dysfunctional protein with unknown structure or regulation but known to be a culprit of disease? In regards to SARS-CoV-2, what is the structural impact of a dominant mutation?, how does the structure change translate into a fitness advantage?, what new therapeutic opportunity arises? How do we extend molecular dynamics simulations to realistic timescales, to capture the rare events associated with drug targeting in vivo? How do we control specificity in drug design to selectively remove side effects? This is the type of problems, directly related to the understanding of drug/target interfaces, that the book squarely addresses by leveraging a comprehensive AI-empowered approach"--
Protein structure protection commits gene expression patterns by Jianping Chen( )

1 edition published in 2008 in English and held by 2 WorldCat member libraries worldwide

Subfunctionalization reduces the fitness cost of gene duplication in humans by buffering dosage imbalances by Ariel Fernández( )

1 edition published in 2011 in English and held by 2 WorldCat member libraries worldwide

Audience Level
Audience Level
  Kids General Special  
Audience level: 0.55 (from 0.53 for Transforma ... to 0.97 for Physics at ...)

Transformative concepts for drug design : target wrapping
Alternative Names
Ariel Fernandez Argentijns wiskundige

Ariel Fernandez Argentine biophysicist

Ariel Fernandez argentinischer Mathematiker, Chemiker und Biophysiker

Ariel Fernandez chimico e fisico argentino

Ariel Fernandez chimiste et mathématicien argentin-américain

Ariel Fernández Matemático argentino

أرييل فرنانديز

阿列尔·费尔南德斯 阿列尔·费尔南德斯

English (52)

German (1)