Computational Biology and Bioinformatics
Unilateral incompatibility (UI) occurs in an interspecific cross when the flower pistil terminates pollen tube formation prematurely before fertilization. UI occurs in one direction, the opp…
Computational Biology and Bioinformatics
Recent research in the treatment and prevention of disease has become dominated by a relatively new and revolutionary technique: mRNA. Although initially used to develop cancer prophylactics…
Computational Biology and Bioinformatics
Since December 2019, a novel coronavirus known as COVID-19 has plagued the world. Currently, Chest CT imaging is used alongside the reverse transcription polymerase chain reaction test (RT-P…
Computational Biology and Bioinformatics
Targeted therapies for glioblastoma multiforme (GBM) have low success rates in clinical trials and fail to target specific disease-causing mutations, partially due to the exclusive use of ge…
Computational Biology and Bioinformatics
The current methods for drug development against a target disease are not cost-effective. The process is not efficient and has a high failure rate. It can take up to 12 years to design, crea…
Computational Biology and Bioinformatics
This paper proposes a novel Open Time to Event (OTTE) model to derive open population estimates of a target marine species, in a chosen sampling region with RUV cameras present in it. It use…
Computational Biology and Bioinformatics
First Award
Adverse drug reactions (ADRs) represent a significant threat to public health, causing an estimated 100,000 deaths annually in the U.S., but accurate predictions of ADRs caused by drug-drug…
Computational Biology and Bioinformatics
Second Award
More than 95% of the approximately 7000 orphan diseases in the world do not have effective treatments, and since orphan diseases are conditions that affect a limited population, there is lit…
Computational Biology and Bioinformatics
Purpose: Covid-19, a viral global pandemic caused by the SARS-CoV-2 virus caused 2.72 million deaths (as of 03-22-21) worldwide and more than 543,000 deaths in the United States. The purpose…
Computational Biology and Bioinformatics
Fourth Award
Cancer stem cells (CSCs) are subpopulations of cancerous cells that are theorized to be the cause of tumor initiation and relapse. CSCs are especially dangerous because they are resistant to…
Computational Biology and Bioinformatics
The National Cancer Institute reported 9.5 million cancer-related deaths in 2018. A challenge in improving treatment is resistance in genetically unstable cells. The purpose of this study is…
Computational Biology and Bioinformatics
The 2019 coronavirus has proven to have a devastating global effect. With symptoms ranging from those of the common cold to pneumonia, it is evident that scientists must decipher the point a…
Computational Biology and Bioinformatics
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the cause of the global pandemic known as coronavirus disease-2019 or COVID-19 for short. SARS-CoV-2 is a zoonotonic disease,…
Computational Biology and Bioinformatics
The Protein Folding Problem is characterized by the question on how a protein’s amino acid sequence can determine its three-dimensional atomic structure. Increased understanding and accurate…
Computational Biology and Bioinformatics
Accurate assessment of ventricular volumes and cardiac function is essential for diagnosis and treatment of cardiovascular disease, screening for cardiotoxicity, and decisions regarding the…
Computational Biology and Bioinformatics
Third Award
Paternal exposure to environmental toxicants, malnutrition, and stress is associated with increased disease incidence in their children, grandchildren, and great-grandchildren. Recent resear…
Computational Biology and Bioinformatics
In the US alone, there are currently 17.8 million affected by Atopic Dermatitis (AD), commonly known as Eczema. It is characterized by itching and skin inflammation. AD patients are at highe…
Computational Biology and Bioinformatics
Antibiotic resistance is a global problem projected to kill 10 million each year by 2050. The CDC lists Neisseria gonorrhoeae among the most urgent threats in this area due to its widespread…
Computational Biology and Bioinformatics
The prevalence of high mortality rates of cardiovascular diseases (CVD) in humans is contributed to the lack of detailed characterization of the human heart. Largely due to limited access in…
Computational Biology and Bioinformatics
COVID-19 has been a global health crisis for the past year. One way of testing COVID-19 is with the use of chest X-rays. Radiologists read an X-ray and provide results within 24 hours. Howev…
Computational Biology and Bioinformatics
The leading upstream cause of cancer deaths is the inability to accurately classify cancer types and subtypes. The existing method of MRI scanning for cancer diagnosis cannot effectively dif…
Computational Biology and Bioinformatics
Tissue and pathway enrichment tests are associated with mutations of Body Mass Index (BMI) and Alzheimer’s Disease (AD). Researches had shown that AD is correlated with stress-induced change…
Computational Biology and Bioinformatics
Second Award
Progressive neurodegenerative disorders that are defined when a protein, called tau, builds up abnormally in a patient’s brain are called tauopathies. Breakthrough research has led to the id…
Computational Biology and Bioinformatics
This project was outlined to identify important socio-economic variables and their influence in COVID-19 spread. This information can be beneficial to minimizing virus spread as it’ll allow…
Computational Biology and Bioinformatics
Lung cancer is the leading cause of cancer mortality globally, made particularly deadly by asymptomatic metastasis in the early stages of cancer development. A solid understanding of the dyn…
Computational Biology and Bioinformatics
Purpose: To analyze the effect of strict measures on the control of COVID-19 pandemic in China and elaborate its significance and enlightenment. Procedure: We collected epidemiological infor…
Computational Biology and Bioinformatics
Aging is traditionally thought to be caused by complex and interacting factors such as DNA methylation. The traditional formula of DNA methylation aging is based on linear models and few wor…
Computational Biology and Bioinformatics
After the age of 40, humans start to lose height when aging. Height loss is usually attributed to the decrease of upper-body length caused by vertebral compression, but clear evidence to sup…
Computational Biology and Bioinformatics
The issue of food waste is a major problem that contributes to the emissions of greenhouse gases into the environment in addition to causing illness in humans. This experiment aimed to devel…
Computational Biology and Bioinformatics
Title: Through the Looking Glass: Uncovering the Molecular Mechanisms of Phytochemical Treatment for the Prevention Age-Related Macular Degeneration Name: Rishab Samant School: Vestavia Hill…