《轉(zhuǎn)化生物信息學(xué)及其應(yīng)用(英文版)》系“轉(zhuǎn)化醫(yī)學(xué)出版工程:技術(shù)系列”之一,邀請了國內(nèi)外生物、醫(yī)學(xué)、信息學(xué)方面的專家學(xué)者介紹其*前沿的研究成果,從不同角度展現(xiàn)其研究過程中應(yīng)用轉(zhuǎn)化醫(yī)學(xué)信息學(xué)相關(guān)方法或工具的實例,主要包括以下兒個方面:(1)組學(xué)數(shù)據(jù)分析協(xié)助精準(zhǔn)醫(yī)療;(2)通過計算生物學(xué)方法,探索成藥機制,指導(dǎo)藥物研發(fā);(3)計算機輔助藥物發(fā)現(xiàn),通過定向設(shè)計與虛擬篩選更為高效快速地使眾多先導(dǎo)化合物向臨床藥物轉(zhuǎn)化;(4)利用大數(shù)據(jù),通過生物統(tǒng)計學(xué)、生物信息學(xué)和系統(tǒng)生物學(xué)方法研究復(fù)雜疾。唬5)生物成像及其他信息學(xué)技術(shù)在轉(zhuǎn)化醫(yī)學(xué)中的應(yīng)用。
《轉(zhuǎn)化生物信息學(xué)及其應(yīng)用(英文版)》實用性強,可極大地開拓基礎(chǔ)和臨床醫(yī)學(xué)工作人員的思路。
Over the years,a chasm between biomedical researchers and the patients who may benefit from their discoveries has been opened. On one hand, millions of patients with diseases such as cancer are anxiously waiting for new remedies to save their lives. On the other hand, many exciting basic science discoveries do not have opportunities to find practical applications. Recently emerging translational medicine aims to tie basic research to clinical results and optimize both patient care and preventive measures.
Translational medicine converts promising laboratory discoveries into clinical applications and elucidates clinical questions with the use of bench work, aiming to facilitate prediction, prevention, diagnosis, and treatment of diseases. With the ultimate goal to develop more effective preventive/therapeutic approaches and improve clinical outcomes and health levels, translational medicine is therefore a people (patients and the general population as a whole)-oriented medical practice.
The past three decades have witnessed tremendous advances in China in the development of living conditions, food and nutrition, and the health care system. However, while the economy grows and society rapidly transforms, the health care system faces multiple problems. China bears a complex disease spectrum: On one hand, communicable diseases frequently seen in developing countries remain a heavy burden; on the other hand, chronic diseases commonly found in developed countries are also the leading causes of death and disability in China. The situation shows that the health care system in China is facing great challenges, and a state effort is needed to meet these challenges. Therefore China is deepening its reform to improve its people's welfare. The development of translational medicine will accelerate disease control and finding solutions for health problems.
Translational medicine is a multidisciplinary program that integrates research from the medical sciences, basic sciences, and social sciences, with the aim of optimizing patient care and preventive measures that may extend beyond health care services. Therefore, close collaboration in an international scale among all the parties is essential to the development of translational medicine.
To enhance the aforementioned international collaboration as well as to provide a forum for communication and cross-fertilization among basic, translational, and clinical research practit.ioners, we launch the book series "Translational Medicine Research". It features original and observational investigations in the broad fields of laboratory, clinical, and public health research, aiming to provide practical up- to-date information in significant research from all subspecialties of medicine and to broaden the readers' vision and horizon from bench to bed and bed to bench.
In close collaboration with National Infrastructures for Translational Medicine (Shanghai), the book series "Translational Medicine Research" serves as a state- of-the-art resource for physicians and translational medical researchers alike who are interested in the rapidly evolving field of translational medicine. As the Editor- in-Chief, I welcome all the researchers in related areas to report the latest bench- to-bedside researches in this series, so that the series can promote human health by accelerating the knowledge dissemination in global community.
Part I Computer-Aided Drug Discovery
1 Drug Discovery
Geetha Ramakrishnan
2 Translational Bioinformatics and Drug Discovery
Pramodkumar Pyarelal Gupta
3 Translational Research in Drug Discovery and Development
Neha Arora, Pawan Kumar Maurya, and Puneet Kacker
4 Exploring the Potential of Herbal Ligands Toward Multidrug-Resistant Bacterial Pathogens by Computational Drug Discovery
Sinosh Skariyachan
Part II Protein-Ligand Interactions and Drug Development
5 The Progress of New Targets of Anti-HIV and Its Inhibitors
Ke Z. Wu and Ai X. Li
6 Recent Studies on Mechanisms of New Drug Candidates for Alzheimer's Disease Interacting with Amyloid-β Protofibrils Using Molecular Dynamics Simulations
Huai-Meng Fan, Qin Xu, and Dong-Qing Wei
7 Homology Modelling, Structure-Based Pharmacophore Modelling, High-Throughput Virtual Screening and Docking Studies of L-Type Calcium Channel for Cadmium Toxicity
Madhu Sudhana Saddala and A. Usha Rani
8 Natural Compounds Are Smart Players in Context to Anticancer Potential of Receptor Tyrosine Kinases:
An In Silico and In Vitro Advancement
Pushpendra Singh, Shashank Kumar, and Felix Bast
Part III Omics for Precision Medicine
9 Genome-Wide Association Studies: A Comprehensive Tool
to Explore Comparative Genomic Variations and Interactions
Aruni Wilson
10 A Survey of Bioinformatics-Based Tools in RNA-Sequencing
(RNA-Seq) Data Analysis
Pallavi Gaur and Anoop Chaturvedi
11 Epigenetics and Its Role in Human Cancer
Utkarsh Raj and Pritish Kumar Varadwaj
12 Methods for Microhiome Analysis
Kalibulla Syed Ibrahim and Nachimuthu Senthil Kumar
13 Pharmacogenomics: Clinical Perspective, Strategies,and Challenges
Dev Bukhsh Singh
Part IV Biostatistics, Bioinformatics, and System Biology Approaches to Complex Diseases
14 Computational Network Approaches and Their Applications for Complex Diseases
Ankita Shukla and Tiratha Raj Singh
15 Bioinformatics Applications in Clinical Microbiology
Chao Zhang, Shunfu Xu, and Dong Xu
Part V Bioimaging and Other Applications of Informatics Techniques in Translational Medicine
16 Artificial Intelligence and Automatic Image Interpretation in Modern Medicine
Costin Teodor Streba, Mihaela Ionescu, Cristin Constantin Vere, and Ion Rogoveanu
17 Computation in Medicine: Medical Image Analysis and Visualization
Adekunle Micheal Adeshina
Index