A5102865897- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Hormonal and reproductive studies
- RNA and protein synthesis mechanisms
- Adipose Tissue and Metabolism
- Cancer-related molecular mechanisms research
- Molecular Biology Techniques and Applications
- Asthma and respiratory diseases
- Mitochondrial Function and Pathology
- Antimicrobial Peptides and Activities
- Pediatric health and respiratory diseases
- Adolescent Sexual and Reproductive Health
- Helminth infection and control
- Enhanced Oil Recovery Techniques
- Regulation of Appetite and Obesity
- Antioxidant Activity and Oxidative Stress
- Cancer, Stress, Anesthesia, and Immune Response
- Sexual Differentiation and Disorders
- Gastroesophageal reflux and treatments
- Analytical Chemistry and Chromatography
- vaccines and immunoinformatics approaches
- Animal Nutrition and Physiology
- Viral-associated cancers and disorders
- Angiogenesis and VEGF in Cancer
- Glycosylation and Glycoproteins Research
Taiyuan University of Technology
2020-2021
Liaoning University
2017
China Anti-Doping Agency
2012
Peking University
2009-2011
Zen-Noh (Japan)
2001
Xijing Hospital
2000
Air Force Medical University
2000
Shanghai Medical College of Fudan University
1999
Anticancer peptides are defence substances with innate immune functions that can selectively act on cancer cells without harming normal and many studies have been conducted to identify anticancer peptides. In this paper, we introduce the peptide secondary structures as additional features propose an effective computational model, CL-ACP, uses a combined network attention mechanism predict peptides.The CL-ACP model original sequences of construct feature space. The long short-term memory...
Lysine succinylation is an important post-translational modification, whose abnormalities are closely related to the occurrence and development of many diseases. Therefore, exploring effective methods identify sites helpful for disease treatment research drugs. However, most existing computational prediction still based on machine learning. With increasing volume data complexity feature representations, it necessary explore deep learning recognize sites. In this paper, we propose a multilane...
Lysine succinylation is an extremely important protein post-translational modification that plays a fundamental role in regulating various biological reactions, and dysfunction of this process associated with number diseases. Thus, determining which Lys residues uncharacterized sequence are succinylated underpins both basic research drug development endeavors. To solve problem, we have developed predictor called pSuc-PseRat. The features the pSuc-PseRat derived from two aspects: (1) binary...
Lysine acetylation (Kace) is a conservative protein posttranslational modification (PTM) closely related to various metabolic diseases. Therefore, Kace sites identification of great significance for investigating disease treatments. Existing studies have shown that structural properties contain highly useful information, which provides strong basis identifying PTMs. During the feature learning process, features at different levels are complementary, and taking them into consideration can...
Summary Achieving effective results using conventional thermal recovery technology is challenging in the deep undisturbed reservoir with extra-heavy oil LKQ field. Therefore, this study, a novel approach based on in-situ combustion huff-and-puff proposed. Through physical and numerical simulations of reservoir, mechanism key injection production parameters early-stage ultraheavy were investigated, series engineering supporting technologies developed that confirmed to be feasible via pilot...