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Machine Learning Methodologies To Study Molecular Interactions
Dr. Elif Ozkirimli is a full time employee of F. Hoffmann-La Roche AG, Switzerland and Dr. Artur Yakimovich is a full time employee of Roche Products Limited, UK. All other Topic Editors declare no competing interests with regards to the Research Topic.
Molecular Chaperones in Human Disorders
Molecular Chaperones in Human Disorders, Volume 114 in the Advances in Protein Chemistry and Structural Biology series, provides an overview of current developments in mechanisms underlying DNA repair and their involvement in maintaining chromatin repair, the balance between chromosomal repair pathways, tumorigenesis, immune signaling and infection-induced inflammation. Chapters in this new release cover Functional principles and regulation of molecular chaperones, Chaperones and retinal disorders, Protein misfolding and degradation in genetic diseases, Chaperone dysfunction in hereditary myopathic diseases, Diseases caused by functional disorder of molecular chaperones residing in the endoplasmic reticulum, and many other timely topics. - Describes advances in our understanding on DNA repair mechanisms and the involvement of their dysregulation in promoting diseases - Provides an ideal resource for a very wide audience of specialists, researchers and students - Contains timely chapters written by well-renown authorities in their field - Presents information that is well supported by a number of high quality illustrations, figures and tables
Machine Learning in Biomolecular Simulations
Machine learning methods such as neural networks, non-linear dimensionality reduction techniques, random forests and others meet in this research topic with biomolecular simulations. The authors of eight articles applied these methods to analyze simulation results, accelerate simulations or to make molecular mechanics force fields more accurate.
Binding Protein
Proteins are essential for all cellular events. They bind or interact with additional players such as other proteins, peptides, DNA, and RNA to exert their functions. Revealing protein binding partners is important in understanding the mechanisms through which they function in the cells and the organism. These interactions are essential in the regulation of cell fates and could be important in drugs development. For example proteins can bind mRNA to regulate stability and translation. They also bind other proteins for degradation or proteolysis. These mRNAs and proteins could be involved in cellular processes such as cell survival or apoptosis. This book contains review articles dealing with protein interactions with the above mentioned factors. The enclosed articles could be informative and stimulating for readers interested in protein binding partners and the consequences of such interactions.
Bioinformatics and Computational Biology
Bioinformatics and Computational Biology: Technological Advancements, Applications and Opportunities is an invaluable resource for general and applied researchers who analyze biological data that is generated, at an unprecedented rate, at the global level. After careful evaluation of the requirements for current trends in bioinformatics and computational biology, it is anticipated that the book will provide an insightful resource to the academic and scientific community. Through a myriad of computational resources, algorithms, and methods, it equips readers with the confidence to both analyze biological data and estimate predictions. The book offers comprehensive coverage of the most essenti...
Research in Computational Molecular Biology
This book constitutes the refereed proceedings of the 27th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2023, held in Istanbul, Turkey, during April 16–19, 2023. The 11 regular and 33 short papers presented in this book were carefully reviewed and selected from 188 submissions. The papers report on original research in all areas of computational molecular biology and bioinformatics.
In Silico Methods for Drug Design and Discovery
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Handbook of AI-Based Models in Healthcare and Medicine
This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems. Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications. Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.
Chemical Engineering Faculty Directory
This up-to-date faculty directory lists the contact information of all the faculty members, placement administrators, and student organizations of almost 500 worldwide universities and technical institutes offering chemical engineering curricula. This offers a comprehensive reference tool that is unique and valuable, in that there is no such directory available on chemical engineering. The indices make it easy to find the current affiliation of any chemical, biological and environmental engineering faculty by listing in alphabetical order.
