Bioinformatic Approaches and Their Applications in Sericulture | Chapter 5 | Research Perspectives of Microbiology and Biotechnology Vol. 2

Bioinformatics, the fusion of biology, computer science, and information technology, has become indispensable for comprehending and managing the immense biological data generated by modern molecular techniques. This review explores the significance of bioinformatics in sericulture, focusing on its applications in silkworm (Bombyx mori) and host plant research. Numerous online databases, including SilkDB, KAIKObase, SilkBase, and MorusDB, have been established to organize and provide access to genomic, transcriptomic, and proteomic data for silkworms, mulberry, and associated organisms. Bioinformatic analyses have facilitated the identification of genes conferring desirable traits such as disease resistance, drought tolerance, and olfactory modulation in silkworms and host plants. Case studies exemplify the utility of bioinformatics in unraveling the defense mechanisms of the silkworm cocoon and tracing horizontal gene transfer events during evolution. The integration of bioinformatics tools has accelerated research progress, enabling informed decision-making for the enhancement of silkworm health, productivity, and the overall sericulture industry. As sericulture in Assam and India possesses immense potential with four distinct silkworm varieties, the strategic application of bioinformatics is crucial for leveraging next-generation sequencing data to drive advancements in this field.

Author(s) Details:

Dipankar Brahma,
Department of Sericulture, Forest College and Research Institute, Mettupalayam-641301, India.

Nilav Ranjan Bora,
Department of Sericulture, Forest College and Research Institute, Mettupalayam-641301, India.

Rushali Chakraborty,
Department of Entomology, College of Agriculture, AAU, Jorhat 785013, India.

Jugabrat Sarma,
Department of Sericulture, Assam Agricultural University, Jorhat, Assam 783350, India.

Abhigyan Rajhowa,
Department of Sericulture, Assam Agricultural University, Jorhat, Assam 783350, India.

Please see the link here: https://stm.bookpi.org/RPMAB-V2/article/view/14120

Genomic and Proteomic: Concept and Application | Chapter 9 | Advanced Concepts in Medicine and Medical Research Vol. 3

 Genomics is the combining several branches of learning science to think the structure, function and progress of genes and their interactions by labeling, molecular characterization and replicating of whole genomes for the ultimate aim of understanding phenomics of organisms.  Overall genomics contains sequencing of genomes, determination of complete set of genes, reasoning of transcripts and proteins encoded by an structure, their interactions and understanding of metabolic pathways. Thus, genomics not only handles the generation of the hereditary information, but also understanding devices by which this facts is used by an creature. Genomics is often detached into structural genomics, working genomics and comparative genomics. Proteins do a variety of important duties in living things. The whole group of proteins that a system or being produces or modifies is known as the proteome. A increasing number of proteins can be labeled thanks to proteomics. The focus of the current review act various occurrences and features related to genomics and proteomics.

Author(s) Details:

Sanjaya Kumar Nayak,
College of Pharmaceutical Science, Puri, Odisha, India.

Biswaranjan Ray,
Institute of Pharmaceutical Science, Jaleswar, Odisha, India.

Please see the link here: https://stm.bookpi.org/ACMMR-V3/article/view/12371

Insights on Marine Invertebrates Larvae Proteomics: Challenges and Opportunities| Chapter 8 | Cutting Edge Research in Biology Vol. 4

 The challenge in adjustment of multi-omics finishes and lack of genome information disheartened sea physicists to conduct studies at proteome or genome molecular level. However, in current age, concerning details advancement in proteomics and bulk spectrometry finishes speeded the marine scientists to devote effort to something studies at microscopic level for better understanding the role of proteins in fundamental conclusion and transformation. Several research teams, in a joint cooperation work, progressed, developed, and selected contemporary proteomics electronics while demonstrating request of specific systems feasible for sea basic research. Proteomic datasets bestowed several proteins play a important act all the while larval conclusion and transformation. These proteins be a part of potential biomarkers for marine dirtiness signs, trend change markers, and antagonistic-twisting powers.

Author(s) Details:

Chandramouli Kondethimmanahalli,
IGeneX, Inc. Reference Laboratory, 556 Gibraltar Drive, Milpitas, CA 95035-6315, USA.

Please see the link here: https://stm.bookpi.org/CERB-V4/article/view/9271

Carbon Rule of Law that Determine to be the One in Genome Based Remedy: Viral One under Study| Chapter 3 | Current Practice in Medical Science Vol.10

 Viral proteins' underlying varieties can result from transformations. These primary modifications are welcomed on via carbon appropriation. Here, the carbon conveyance in viral proteins is analyzed. Results show that atomic proteins have lower carbon contents than polymerase proteins and that surface proteins have higher carbon contents. The carbon conveyance example of polymerase proteins is unrivaled than that of different proteins. As thymine conveyance in different mRNA outlines is connected to the carbon dissemination design in the related proteins, it is analyzed. Discoveries show that outline 4 abuses the circulation of thymine. The blend of proteins with different carbon conveyances is brought about by this. In outline 3, a surprising dissemination of thymine is seen. When contrasted with typical mRNA, the viral mRNA has an unmistakable thymine circulation. The examination of mRNA grouping of infection uncovers that the adenine content is higher in all successions. The presentation of the protein may be improved by diminishing the overabundance thymine in viral mRNAs. It is vital to utilize mutational exploration in light of carbon dispersion to improve protein strength, movement, and eventually quality treatment.

Author(s) Details:

Rajasekaran Ekambaram,
Department of Chemistry, V.S.B. Engineering College, Karur-639111, India.

Indupriya Rajasekaran,
Andaman & Nicobar Islands Institute of Medical Sciences, Port Blair, Andaman & Nicobar, India.

Please see the link here: https://stm.bookpi.org/CPMS-V10/article/view/8063

Integrated Risk Assessment Coupled with Molecular Detection Platform Enhance Personalized Health Care in Metabolic Disorders | Chapter 13 | Emerging Trends in Disease and Health Research Vol. 3

 Type 2 diabetes mellitus (T2DM) is characterised by multidimensional metabolic dysfunction caused by endothelium and beta cell malfunction, as well as regulatory molecular dysfunction caused by stress, lifestyle, food, and physical inactivity anchored in the insulin signalling network. It is caused by both environmental and genetic changes, which may play a role in the development of secondary disease as a risk barrier for microvascular disorders such coronary artery disease, hypertension, obesity, stroke, and dyslipidemia. It's also worth noting that T2DM is a risk factor for mental illness accompanied by cognitive impairment, such as Alzheimer's disease (AD). Using integrated multi-omics techniques, new evidence suggests that the interrelationship between metabolic syndrome and mental disorders involves multiple biological interfaces and connectivity. This review summarises that these categories include core omics strategy, genomics, transcriptomic, and proteomics; advanced omics applications, such as nutrigenomics, and metabolomics, to better understand pathobiology in metabolic illness and improve prediction skill set of T2DM with complicated genetic background and heterogeneity traits. Diagnostic indicators such as glucose concentrations and haemoglobin A1c are being employed in the blood to predict the state of metabolic surveillance. The human whole genome sequencing project ushered in the post-genomic era. Diet and lifestyle have exhibited dual qualities to be employed in customised dietary medicine as treatment guidance and precision medicine for health surveillance, both of which are dependent on genetic diversity as illustrated by gene-diet interaction. Molecular-based risk assessment using Omics methods such as nutrigenomics and metabolomics can help forecast and prevent health difficulties caused by environmental risk and exposure in people who have adapted to the new post-industrialized niche.

Author(S) Details

Sylvester Ndimele
Department of Environmental Health Science, School of Health Sciences and Practice, New York Medical College, Valhalla, NY, 10595, USA.

Miranda L. Carpenter
Department of Environmental Health Science, School of Health Sciences and Practice, New York Medical College, Valhalla, NY, 10595, USA.

Jae-Hyeon Cho
Institute of Agriculture and Life Science, Collegeof Veterinary Medicine, Gyeongsang National University, Jinju, 660-701, Korea.

Diane E. Heck
Department of Environmental Health Science, School of Health Sciences and Practice, New York Medical College, Valhalla, NY, 10595, USA.

Hong Duck Kim
Department of Environmental Health Science, School of Health Sciences and Practice, New York Medical College, Valhalla, NY, 10595, USA.

View Book:- https://stm.bookpi.org/ETDHR-V3/article/view/5889

Distribution Statistics on Carbon Value Points out Good and Bad Portions of Proteins: A Viral Sample in Study | Chapter 1 | Challenges in Disease and Health Research Vol. 6

 The structure of viral proteins can be altered by mutation to form different structures. These structural changes are caused by changes in carbon distribution. The carbon distribution statistics in viral protein samples are computed here. The statistical results are useful in identifying carbon-optimized domains and abnormal portions, such as active regions or hydrophobic parts. It clearly shows the portions of the folded protein that are exposed or buried. It is capable of locating the abnormal portion for possible mutational research. Based on this carbon distribution, mutational studies can be more effectively used to improve protein stability, activity, and, ultimately, gene therapy.

Author (s) Details

R. Devprakash
Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore–641114, Tamil Nadu, India.

K. Akila
Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore–641114, Tamil Nadu, India.

R. Senthil
Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore–641114, Tamil Nadu, India.

R. Indupriya
Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore–641114, Tamil Nadu, India.

R. Meenal
Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore–641114, Tamil Nadu, India.

E. Rajasekaran
Karunya Institute of Technology and Sciences, Karunya Nagar, Coimbatore–641114, Tamil Nadu, India.

View Book :- https://stm.bookpi.org/CDHR-V6/article/view/1661