Conferences related to Drug Design

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2021 IEEE Pulsed Power Conference (PPC)

The Pulsed Power Conference is held on a biannual basis and serves as the principal forum forthe exchange of information on pulsed power technology and engineering.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 57th ACM/ESDA/IEEE Design Automation Conference (DAC)

The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2022 59th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2021 58th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2019 56th ACM/ESDA/IEEE Design Automation Conference (DAC)

    EDA (Electronics Design Automation) is becoming ever more important with the continuous scaling of semiconductor devices and the growing complexities of their use in circuits and systems. Demands for lower-power, higher-reliability and more agile electronic systems raise new challenges to both design and design automation of such systems. For the past five decades, the primary focus of research track at DAC has been to showcase leading-edge research and practice in tools and methodologies for the design of circuits and systems.

  • 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2017 54th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2016 53nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2015 52nd ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2014 51st ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC Description for TMRF The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 sessions on design methodologies and EDA tool developments, keynotes, panels, plus the NEW User Track presentations. A diverse worldwide community representing more than 1,000 organizations attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading

  • 2013 50th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The world's premier EDA and semiconductor design conference and exhibition. DAC features over 60 session on design methodologies and EDA tool developments, keynotes, panels, plus User Track presentations. A diverse worldwide community representing more than 1,000 organization attends each year, from system designers and architects, logic and circuit designers, validation engineers, CAD managers, senior managers and executives to researchers and academicians from leading universities.

  • 2012 49th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers

  • 2011 48th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference is the world s leading technical conference and tradeshow on electronic design and design automation. DAC is where the IC Design and EDA ecosystem learns, networks, and does business.

  • 2010 47th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 200 of the leading electronics design suppliers.

  • 2009 46th ACM/EDAC/IEEE Design Automation Conference (DAC)

    DAC is the premier event for the electronic design community. DAC offers the industry s most prestigious technical conference in combination with the biggest exhibition, bringing together design, design automation and manufacturing market influencers.

  • 2008 45th ACM/EDAC/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier event for the design of electronic circuits and systems, and for EDA and silicon solutions. DAC features a wide array of technical presentations plus over 250 of the leading electronics design suppliers.

  • 2007 44th ACM/IEEE Design Automation Conference (DAC)

    The Design Automation Conference (DAC) is the premier Electronic Design Automation (EDA) and silicon solution event. DAC features over 50 technical sessions covering the latest in design methodologies and EDA tool developments and an Exhibition and Demo Suite area with over 250 of the leading EDA, silicon and IP Providers.

  • 2006 43rd ACM/IEEE Design Automation Conference (DAC)

  • 2005 42nd ACM/IEEE Design Automation Conference (DAC)

  • 2004 41st ACM/IEEE Design Automation Conference (DAC)

  • 2003 40th ACM/IEEE Design Automation Conference (DAC)

  • 2002 39th ACM/IEEE Design Automation Conference (DAC)

  • 2001 38th ACM/IEEE Design Automation Conference (DAC)

  • 2000 37th ACM/IEEE Design Automation Conference (DAC)

  • 1999 36th ACM/IEEE Design Automation Conference (DAC)

  • 1998 35th ACM/IEEE Design Automation Conference (DAC)

  • 1997 34th ACM/IEEE Design Automation Conference (DAC)

  • 1996 33rd ACM/IEEE Design Automation Conference (DAC)


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


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Periodicals related to Drug Design

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Xplore Articles related to Drug Design

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Drug design as a video game: A summer program integrating chemical biology and computer science

2011 Integrated STEM Education Conference (ISEC), 2011

Virtual drug screening is a rapidly evolving technique which offers great promise for the systematic evaluation of large chemical libraries to identify potential drug candidates. eHiTS Lightning is a commercial drug design software which takes advantage of the Cell Broadband Engine processor present in the video game console Sony PlayStation 3 to greatly accelerate computations. In the summer of 2008, ...


Deep belief networks using hybrid fingerprint feature for virtual screening of drug design

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 2016

Virtual screening (VS) is a computational technique used in drug discovery. VS process usually works by identifying the ability of structures to bind each other. One of the structure interpretation is molecular fingerprints. Molecular fingerprints are used for computational drug discovery as feature for VS. A variety of fingerprint types has been introduced. Combining two or more fingerprints into a ...


High-performance computing for drug design

2008 IEEE International Conference on Bioinformatics and Biomeidcine Workshops, 2008

High performance computing has become a major focus of attention by government, industry, medical centers and academic institutions. The U.S. government has made this a ldquotop national priorityrdquo, linking the development of a ldquodata superhighway systemrdquo to national competitiveness and national research interest. High performance supercomputing approaches have been used for sequence analysis, gene finding, protein structural prediction, all-atom simulation ...


A multiobjective integer differential evolution approach for computer aided drug design

2015 3rd International Conference on Control, Engineering & Information Technology (CEIT), 2015

Computer aided drug discovery is a field where recent advances in technology are expected to impact in a significant way the traditional process of drug development. In this paper, an integer differential evolution (IDE) algorithm for De novo drug design is proposed. The aim is to find small molecules that are complementary in shape and charge to a reference molecule ...


Combatting disease with computer-aided drug design

IEEE Potentials, 2006

One of the major offshoots of bioinformatics is computer-aided drug design. Researchers at a university in Sweden have used bioinformatics software alone to develop new potential drug candidates against an essential enzyme of the malaria-inducing parasite, plasmodium falciparum. It is obvious that computational drug design has come to stay


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Educational Resources on Drug Design

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IEEE-USA E-Books

  • Drug design as a video game: A summer program integrating chemical biology and computer science

    Virtual drug screening is a rapidly evolving technique which offers great promise for the systematic evaluation of large chemical libraries to identify potential drug candidates. eHiTS Lightning is a commercial drug design software which takes advantage of the Cell Broadband Engine processor present in the video game console Sony PlayStation 3 to greatly accelerate computations. In the summer of 2008, a computational chemistry program for high school students was held at Rhode Island College which incorporated several different modules which combined biology, chemistry, and computer science. One of these modules focused on computer-aided drug design. Here, we describe the objectives, methods, achievements, and future goals of that aspect of the program where a high school student, mentored by a graduate student, used eHiTS Lightning on a Sony PlayStation 3 in order to identify molecules which may be potential cancer therapeutics.

  • Deep belief networks using hybrid fingerprint feature for virtual screening of drug design

    Virtual screening (VS) is a computational technique used in drug discovery. VS process usually works by identifying the ability of structures to bind each other. One of the structure interpretation is molecular fingerprints. Molecular fingerprints are used for computational drug discovery as feature for VS. A variety of fingerprint types has been introduced. Combining two or more fingerprints into a hybrid fingerprints has been found to improve the performance of VS. Furthermore, machine learning techniques have helped to improve the performance of VS. The purpose of this research is to find a new Deep Belief Networks (DBN) architecture approach for hybrid fingerprint features. In this paper, there were two different approaches for combining two fingerprints feature for DBN, then called initial combining and latter combining. This research used six protein target classes as same as the previous research about DBN for VS. The experiments result show that the best way to combine the fingerprints for DBN architecture is initial combining.

  • High-performance computing for drug design

    High performance computing has become a major focus of attention by government, industry, medical centers and academic institutions. The U.S. government has made this a ldquotop national priorityrdquo, linking the development of a ldquodata superhighway systemrdquo to national competitiveness and national research interest. High performance supercomputing approaches have been used for sequence analysis, gene finding, protein structural prediction, all-atom simulation such as molecular dynamics and quantum calculations, modeling biological networks such as systems biology and more recently drug design and drug discovery. All these approaches are highly computationally demanding, in terms of compute load, communication speed, and memory load. Supercomputing based drug design and drug discovery use high-performance super-computers and bioinformatics approaches to discover, enhance, and study drugs and related biologically active molecules as well as the sites of protein interactions. Methods include molecular modeling using biophysical approaches such as molecular dynamics, semi- empirical quantum mechanics methods, ab initio quantum chemistry methods, density functional theory, receptor-ligand interactions and protein docking and so on. The success of the high-throughput drug design and drug discovery now directly relies on the high-performance computing capabilities. Many research and computational products that were used to be considered impossible now proved to be feasible and effective with the help of todaypsilas supercomputing techniques. In particular, the identification of diseases relating to protein structural changes challenges biomedicine as the result of the sophisticated protein interaction networks that demand effective drug design using supercomputing based on mathematical, computational and biophysical models and algorithms for solving the model equations, and the bioinformatics techniques to analyze and validate the results. Those will need our deeper studies of biophysical phenomena and interesting biophysical and algorithmic problems using supercomputing. In this keynote lecture, we follow the scenario of Koshlandpsilas ldquoinduced-fitrdquo to demonstrate that the identification of intrinsically disordered/unstructured proteins will became increasingly important to the drug design and discovery, because many proteins are folding upon interaction with drugs. The high-performance computing approaches help to reduce the number of targets for a good drug that has to be eventually tested by expensive and time-consuming synthesis and laboratory and toxicology experiments. High-performance computing study of intrinsically unstructured protein related pathways focuses on the discovery and development of novel drugs for the treatment of metabolic and mis-folding related diseases by targeting the metabolic and biological pathways in the protein interaction network. The advances of supercomputing will foster the synergistic relation between biophysical and computational sciences towards translational bioinformatics in the future.

  • A multiobjective integer differential evolution approach for computer aided drug design

    Computer aided drug discovery is a field where recent advances in technology are expected to impact in a significant way the traditional process of drug development. In this paper, an integer differential evolution (IDE) algorithm for De novo drug design is proposed. The aim is to find small molecules that are complementary in shape and charge to a reference molecule by making connections between fragments. The problem is cast as a multi-objective optimization task and the proposed IDE algorithm performs such task by aggregation of two objective functions namely Oral Bioavailability (OBA) and Tanimoto coefficient. An experimental study using libraries of acid and amine fragments as well as the Chemistry Development Kit (CDK) tools has been conducted and very promising results have been obtained. Better performance than a genetic algorithm with both objectives has been achieved.

  • Combatting disease with computer-aided drug design

    One of the major offshoots of bioinformatics is computer-aided drug design. Researchers at a university in Sweden have used bioinformatics software alone to develop new potential drug candidates against an essential enzyme of the malaria-inducing parasite, plasmodium falciparum. It is obvious that computational drug design has come to stay

  • Enzyme-induced pore formation in smart polymeric micro-containers for drug design and programming of biochemical computers

    The paper reports the temporal dependence of the pore formation in polymeric capsules. The results are important for the drug design and programming of biochemical computers.

  • Employing Improved GA to Promote Molecular Docking Efficiency for Drug Design

    This paper present a novel improved genetic algorithms (GA) to further the efficiency of molecular docking for drug design. According to our previous researches, docking is the crucial component of drug development. The number of docking sites affects the drug docking speed. Reducing the scope of the geometry search is the key task. This paper compares four geometry search methods as follows: Monte Carlo, simulated annealing, and genetic algorithms and improved GA, and refer to [1][2] in geometry search methods were compared when searching using a grid-based methodology in docking five HIV-1 protease- ligand complexes with known three-dimensional structures. The improved GA is better in terms of processing the search operation of geometry graphics. Finally, the demonstrated in simulation 1 that improved GA was utilized to sieve out the more approach global energy minimum from the raw and plenty docking sites.

  • Bagging neural network sensitivity analysis for feature reduction for in-silico drug design

    This paper illustrates a new approach to sensitivity analysis for feature selection using multiple ensemble neural networks in a bootstrapping mode with bagging. This methodology is applied to in-silico drug design with QSAR (quantitative structural activity relationship), which is notoriously challenging for machine learning because typically there are on the order of 300-1000 dependent features, often for as few as 50-100 data points. For an HIV dataset with 160 wavelets descriptors, the number of relevant features was reduced to 35, and the resulting predictive neural network model gave better results than with the full feature set.

  • Accelerating the drug design process through parallel inductive logic programming data mining

    This paper presents a new system for parallel inductive logic search for pharmacophores which can potentially accelerate the chemical evaluation phase of the drug design process. This system has been tested on a Beowulf cluster and an IBM SP2 supercomputer with promising results.

  • Drug Design for KU86 in DNA Break Repair System

    XRCC4 was well known as the downstream of KU86-DNA complex. They both play an important role in the DNA double-strain breaks (DSBs) repair system subpathway, nonhomologous end joining (NHEJ). In this study, The protocol of docking analysis was applied to find the specific compounds, which had highest affinities to KU86 from our TCM database. The docking results were analyzed to point out potent compounds. Xanthone-9, xanthone-11, 12, and Cycloheterophyllin were suggested as leading compounds for drug design by hydrogen bonds forming on Arg403 in Ku70 and Arg400 in Ku80 Then, xanthone-11 was selected to the protocol of de novo evolution. The diversities of xanthone-11 had 10 kinds of the result of de novo evolution. We suggested that the diversities could be the potent compounds of inhibitors for KU86.



Standards related to Drug Design

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Jobs related to Drug Design

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