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Taking advantage of drug resistance, a new approach in the war on cancer

Liqin Wang, Rene Bernards

Frontiers of Medicine 2018, Volume 12, Issue 4,   Pages 490-495 doi: 10.1007/s11684-018-0647-7

Abstract:

Identification of the driver mutations in cancer has resulted in the development of a new category of molecularly targeted anti-cancer drugs. However, as was the case with conventional chemotherapies, the effectiveness of these drugs is limited by the emergence of drug-resistant variants. While most cancer therapies are given in combinations that are designed to avoid drug resistance, we discuss here therapeutic approaches that take advantage of the changes in cancer cells that arise upon development of drug resistance. This approach is based on notion that drug resistance comes at a fitness cost to the cancer cell that can be exploited for therapeutic benefit. We discuss the development of sequential drug therapies in which the first therapy is not given with curative intent, but to induce a major new sensitivity that can be targeted with a second drug that selectively targets the acquired vulnerability. This concept of collateral sensitivity has hitherto not been used on a large scale in the clinic and holds great promise for future cancer therapy.

Keywords: cancer     drug resistance     genetic screens     senescence     targeted therapy    

Design and analysis of Salisbury screens and Jaumann absorbers for solar radiation absorption

Xing FANG, C. Y. ZHAO, Hua BAO

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 158-168 doi: 10.1007/s11708-018-0542-6

Abstract: ., Salisbury screens and Jaumann absorbers are systematically investigated in solar radiation absorption

Keywords: thin films     admittance loci     solar absorber    

Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Frontiers of Medicine 2023, Volume 17, Issue 4,   Pages 768-780 doi: 10.1007/s11684-023-0982-1

Abstract: By employing echocardiography and genetic screening for the 46 genes, HCM can be classified into two

Keywords: machine learning methods     hypertrophic cardiomyopathy     genetic risk    

Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

Frontiers of Medicine 2018, Volume 12, Issue 6,   Pages 601-607 doi: 10.1007/s11684-018-0648-6

Abstract: Longitudinal studies and randomized intervention trials have shown that genetic susceptibility to obesity

Keywords: diet     genetic susceptibility     obesity     interaction    

Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 863-889 doi: 10.1007/s11709-019-0523-9

Abstract: For this purpose, the enhanced genetic algorithm methodology named EGAwMP is utilized as an optimizationThe evolutionary search mechanism of EGAwMP is constituted on the basis of generational genetic algorithminto sub-populations and using of a radial basis neural network for dynamically adjustment of EGAwMP’s genetic

Keywords: design optimization     genetic algorithm     multiple populations     neural network    

Research progress on genetic improvement of

Chuanping YANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 391-401 doi: 10.15302/J-FASE-2017183

Abstract: Over the past 30 years, effective progress has been made in genetic improvement and molecular breedingmolecular markers were developed and the high density genetic map constructed.All this research has provided a model and data for the foundation of forest genetic improvement and

Keywords: Betula platyphylla     genetic improvement     molecular breeding     seed orchard    

Genomics and genetic breeding in aquatic animals: progress and prospects

Wenteng XU, Songlin CHEN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 305-318 doi: 10.15302/J-FASE-2017154

Abstract: focuses on dissection of genome structure and function to provide a molecular basis for understanding the geneticprogress of aquatic animals in nine aspects, including WGS and fine mapping, construction of high density genetic

Keywords: aquaculture     genomics     genetic breeding     progress    

Search-and-replace editing of genetic information

Yao LIU, Xingxu HUANG, Xiaolong WANG

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2,   Pages 231-232 doi: 10.15302/J-FASE-2020322

Age-related trends in genetic parameters for wood properties in

Chao SUN, Meng LAI, Shougong ZHANG, Xiaomei SUN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 4,   Pages 482-492 doi: 10.15302/J-FASE-2017184

Abstract: With the aim of performing efficient early selection for wood properties, we investigated genetic variationAfter the age of 6, genetic correlations were generally higher than phenotypic correlations.

Keywords: early selection     genetic variation     wood properties     SilviScan     Larix kaempferi    

Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 4,   Pages 318-322 doi: 10.1007/s11709-008-0055-1

Abstract: set of constraints of the Technical Specification for Light-weighted Steel Portal Frames of China, a geneticFinally, some examples illustrate the effectiveness and efficiency of the genetic-algorithm-based optimal

Keywords: satisfactory     genetic-algorithm-based     Technical Specification     algorithm     efficiency    

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 3,   Pages 378-395 doi: 10.1007/s11709-022-0899-9

Abstract: The algorithms considered in this step are the arithmetic optimization algorithm (AOA) and genetic algorithm

Keywords: optimization     surrogate models     artificial neural network     SAP2000     genetic algorithm    

Advances in genetic engineering of domestic animals

Shaohua WANG,Kun ZHANG,Yunping DAI

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 1,   Pages 1-10 doi: 10.15302/J-FASE-2016085

Abstract: Thus, genetic engineering of domestic animals presents a critical and valuable tool to address theseOverall, genetic engineering has evolved through three stages in history: transgenesis, gene targetingSince the birth of the first transgenic pig, genetic engineering in livestock has been advancing slowlyRecently, rapid progress in tools and methods of genome engineering has been made, allowing genetic editingHere, we review the major advances of genetic engineering in domestic animals with emphasis placed on

Keywords: CRISPR     TALEN     ZFN     gene editing     livestock     pig     cattle    

Plant genetic engineering and genetically modified crop breeding: history and current status

Xingchun WANG,Shujun CHANG,Jie LU,Rupert FRAY,Don GRIERSON,Yuanhuai HAN

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 5-27 doi: 10.15302/J-FASE-2017131

Abstract: This review charts the major developments in the genetic manipulation of plant cells that have takenThe toolkit available for genetic modification has expanded greatly since 1996 and recently Nobel Laureates

Keywords: plant transformation     transgene     genetic modification    

Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 354-367 doi: 10.1007/s11465-014-0319-5

Abstract: and the minimum mass of the studied part, is proposed by combining the response surface method and geneticAnd a multi-objective genetic algorithm (MOGA) is applied to determine the direction of optimization.

Keywords: planet carrier     multi-objective optimization     genetic algorithms     wind turbine gearbox     modal experiment    

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 57-59

Abstract: text-align: justify;">A method that uses annealing algorithm to improve the inefficient local search of geneticThat method bases on analysis of the advantages and disadvantages of the annealing and the genetic algorithmalgorithm optimization is more rapidly in precision after annealing algorithm integration with the genetic

Keywords: genetic algorithm     simulated annealing algorithm     genetic algorithm improvement    

Title Author Date Type Operation

Taking advantage of drug resistance, a new approach in the war on cancer

Liqin Wang, Rene Bernards

Journal Article

Design and analysis of Salisbury screens and Jaumann absorbers for solar radiation absorption

Xing FANG, C. Y. ZHAO, Hua BAO

Journal Article

Machine learning modeling identifies hypertrophic cardiomyopathy subtypes with genetic signature

Journal Article

Interplay between diet and genetic susceptibility in obesity and related traits

Tiange Wang, Min Xu, Yufang Bi, Guang Ning

Journal Article

Optimal design of steel skeletal structures using the enhanced genetic algorithm methodology

Tugrul TALASLIOGLU

Journal Article

Research progress on genetic improvement of

Chuanping YANG

Journal Article

Genomics and genetic breeding in aquatic animals: progress and prospects

Wenteng XU, Songlin CHEN

Journal Article

Search-and-replace editing of genetic information

Yao LIU, Xingxu HUANG, Xiaolong WANG

Journal Article

Age-related trends in genetic parameters for wood properties in

Chao SUN, Meng LAI, Shougong ZHANG, Xiaomei SUN

Journal Article

Optimal design of steel portal frames based on genetic algorithms

CHEN Yue, HU Kai

Journal Article

Optimal design of double-layer barrel vaults using genetic and pattern search algorithms and optimized

Journal Article

Advances in genetic engineering of domestic animals

Shaohua WANG,Kun ZHANG,Yunping DAI

Journal Article

Plant genetic engineering and genetically modified crop breeding: history and current status

Xingchun WANG,Shujun CHANG,Jie LU,Rupert FRAY,Don GRIERSON,Yuanhuai HAN

Journal Article

Multi-objective genetic algorithms based structural optimization and experimental investigation of the

Pengxing YI,Lijian DONG,Tielin SHI

Journal Article

Optimization and its realization of anneal-genetic algorithm

Wang Ying

Journal Article