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A Review on the Frontier of Molecular Biology Integrating AI and Bioinformatics in Genetic Research
Mohammad Odah
Molecular biology is undergoing a transformative evolution through the integration of Artificial Intelligence (AI) and bioinformatics, which collectively empower researchers to analyze complex genomic datasets, uncover hidden patterns in genetic information, and advance the paradigm of precision medicine. Notable breakthroughs include AlphaFold’s revolutionary contribution to protein structure prediction, achieving near-experimental accuracy, and PolyPhen’s role in assessing the functional impact of genetic mutations, advancing precision diagnostics. These advancements demonstrate the potential of AI to accelerate discoveries in functional genomics and disease prediction models. However, the integration of these technologies also raises significant ethical concerns. For instance, issues related to genetic privacy have become increasingly critical, as the misuse of sensitive genomic data could lead to discrimination in healthcare and employment. This comprehensive review explores the dynamic intersection of AI and bioinformatics, emphasizing their roles in gene-disease association studies, protein structure prediction, and functional genomics. It also critically addresses challenges, including data quality issues, computational limitations, and the ethical implications of genetic privacy. Future research directions focus on enhancing AI model transparency, overcoming computational barriers, and developing robust ethical frameworks to ensure equitable benefits in clinical and research settings. By integrating cutting-edge AI technologies, such as explainable AI (XAI) and federated learning, with robust bioinformatics methodologies, this review highlights a roadmap for revolutionizing genetic research and fostering advancements in personalized medicine.
Molecular biology is undergoing a transformative evolution through the integration of Artificial Intelligence (AI) and bioinformatics, which collectively empower researchers to analyze complex genomic datasets, uncover hidden patterns in genetic information, and advance the paradigm of precision medicine. Notable breakthroughs include AlphaFold’s revolutionary contribution to protein structure prediction, achieving near-experimental accuracy, and PolyPhen’s role in assessing the functional impact of genetic mutations, advancing precision diagnostics. These advancements demonstrate the potential of AI to accelerate discoveries in functional genomics and disease prediction models. However, the integration of these technologies also raises significant ethical concerns. For instance, issues related to genetic privacy have become increasingly critical, as the misuse of sensitive genomic data could lead to discrimination in healthcare and employment. This comprehensive review explores the dynamic intersection of AI and bioinformatics, emphasizing their roles in gene-disease association studies, protein structure prediction, and functional genomics. It also critically addresses challenges, including data quality issues, computational limitations, and the ethical implications of genetic privacy. Future research directions focus on enhancing AI model transparency, overcoming computational barriers, and developing robust ethical frameworks to ensure equitable benefits in clinical and research settings. By integrating cutting-edge AI technologies, such as explainable AI (XAI) and federated learning, with robust bioinformatics methodologies, this review highlights a roadmap for revolutionizing genetic research and fostering advancements in personalized medicine.
Posted: 21 November 2024
Imaging Studies of the Stifle Joint in Puma concolor (Linnaeus, 1771)
Eduardo Burgarelli Mayrink Cardoso,
Sheila Canevese Rahal,
Jeana Pereira da Silva,
Maria Jaqueline Mamprim,
Jair Theodoro Filho,
Gabriela Montezel Frigerio,
Paulo Hilário Nascimento Saldiva,
Mário Manuel Dinis Ginja,
Karin Werther
Posted: 21 November 2024
Characterization and Classification of Berry (Aronia, Haskap and Goji) Fruits with High Bioactive Value Grown in Spain
María Concepción Ayuso-Yuste,
Francisco Javier Cruz Calero,
María Ramos García,
Noelia Nicolás Barroso,
María Belén Ramos Alguijo,
María José Rodríguez Gómez,
Patricia Calvo Magro
Posted: 21 November 2024
Promyelocytic Leukemia Protein (PML) Regulates Stem Cell Pluripotency Through Novel Sumoylation Targets
Syrago Spanou,
Takis Makatounakis,
Chrysa Filippopoulou,
Georgios Dougalis,
George Stamatakis,
Christoforos Nikolaou,
Martina Samiotaki,
Georgia Chachami,
Joseph Papamatheakis,
Androniki Kretsovali
Posted: 21 November 2024
CUL4-Based Ubiquitin Ligases in Chromatin Regulation: An Evolutionary Perspective
Makiko Nakagawa,
Tadashi Nakagawa
Posted: 21 November 2024
Will The Real Immunogens Please Stand Up: Exploiting the Immunogenic Potential of Cryptococcal Cell Antigens in Fungal Vaccine Development
Samantha L. Avina,
Siddhi Pawar,
Amariliz Rivera,
Chaoyang Xue
Posted: 21 November 2024
Contextual Influence on Pattern Separation During Encoding
Laura García-Rueda,
Claudia Poch,
Joaquín Macedo-Pascual,
Pablo Campo
Pattern separation has been studied in relation to both the retrieval and encoding processesis considered a crucial process that allow humans to store and remember allows us to distinguish among the highly similar items. Within this body of research,and overlapping experiences which constitute our episodic memory. Not only different episodes share common features, but it is often the role of case that they share the context in which those similar items are found becomes highly relevant. One hypothesis assertsthey occurred. While there has been a great number of studies investigating pattern separation, and its behavioural counterpart, a process known as mnemonic discrimination, surprisingly, research exploring the influence of context on pattern separation or mnemonic discrimination has been less common. The available evidence showed that similar items with similar context leadled to a failure in pattern separation due to high similarity that triggers overlap between events. In contrast, another hypothesis statesOn the other hand, others have shown that pattern separation can take place even under these conditions, allowing humans to distinguish between events with similar items and contexts, as different hippocampal subfields would play complementary roles in enabling both pattern separation and pattern completion. In the present study, we were interested in testing how stability in context influenced pattern separation. WeDespite the fact that pattern separation is by definition an encoding computation the existing literature has focused on the retrieval phase. Here, we used a subsequent memory paradigm in which we manipulated the similarity of context during encoding. We of visual objects selected from diverse categories. Thus, we manipulated the encoded context of each object category (four items within a category), so that some categories had the same intercategory context (same context) and others had different intercategory contexts (different context).context. This approach allowed us to test not only the items presented, but also include the conditions that entail the greatest demand on pattern separation. After a 20-minute period, participants performed a visual mnemonic discrimination task in which they had to differentiate between old, similar, and new items by providing one of the three options for each item tested. According item. Similarly to the second hypothesis describedprevious studies, we found no interaction between judgments and contexts, and participants were able to discriminate between old and lure items at the behavioural level in both conditions. Moreover, when averaging the ERPs of all the items presented within a category, a significant SME emerged between hits and new misses, but not between hits and old false alarms or similar false alarms. These results suggest that item recognition emerges from the interaction with subsequently encoded information, and not just between item memory strength and retrieval processes.
Pattern separation has been studied in relation to both the retrieval and encoding processesis considered a crucial process that allow humans to store and remember allows us to distinguish among the highly similar items. Within this body of research,and overlapping experiences which constitute our episodic memory. Not only different episodes share common features, but it is often the role of case that they share the context in which those similar items are found becomes highly relevant. One hypothesis assertsthey occurred. While there has been a great number of studies investigating pattern separation, and its behavioural counterpart, a process known as mnemonic discrimination, surprisingly, research exploring the influence of context on pattern separation or mnemonic discrimination has been less common. The available evidence showed that similar items with similar context leadled to a failure in pattern separation due to high similarity that triggers overlap between events. In contrast, another hypothesis statesOn the other hand, others have shown that pattern separation can take place even under these conditions, allowing humans to distinguish between events with similar items and contexts, as different hippocampal subfields would play complementary roles in enabling both pattern separation and pattern completion. In the present study, we were interested in testing how stability in context influenced pattern separation. WeDespite the fact that pattern separation is by definition an encoding computation the existing literature has focused on the retrieval phase. Here, we used a subsequent memory paradigm in which we manipulated the similarity of context during encoding. We of visual objects selected from diverse categories. Thus, we manipulated the encoded context of each object category (four items within a category), so that some categories had the same intercategory context (same context) and others had different intercategory contexts (different context).context. This approach allowed us to test not only the items presented, but also include the conditions that entail the greatest demand on pattern separation. After a 20-minute period, participants performed a visual mnemonic discrimination task in which they had to differentiate between old, similar, and new items by providing one of the three options for each item tested. According item. Similarly to the second hypothesis describedprevious studies, we found no interaction between judgments and contexts, and participants were able to discriminate between old and lure items at the behavioural level in both conditions. Moreover, when averaging the ERPs of all the items presented within a category, a significant SME emerged between hits and new misses, but not between hits and old false alarms or similar false alarms. These results suggest that item recognition emerges from the interaction with subsequently encoded information, and not just between item memory strength and retrieval processes.
Posted: 21 November 2024
Effect of Selenium, Copper and Manganese Nanocomposites in Arabinogalactan Matrix on Potato Colonization by Phytopathogens Clavibacter sepedonicus and Pectobacterium carotovorum
Alla I. Perfileva,
Olga V. Zakharova,
Konstantin V. Krutovsky
The effect of chemically synthesized nanocomposites (NCs) of selenium (Se/AG NC), copper oxide (Cu/AG NC) and manganese hydroxide (Mn/AG NC) based on the natural polymer arabinogalactan (AG) on the processes of growth, development and colonization of potato plants in vitro was studied upon infection with the causative agent of potato blackleg – the Gram-negative bacterium Pectobacterium carotovorum and the causative agent of ring rot – the Gram-positive bacterium Clavibacter sepedonicus (Cms). It was shown that infection of potatoes with P. carotovorum reduced root formation of plants and the concentration of pigments in leaf tissues. Treatment of plants with Cu/AG NC before infection with P. carotovorum stimulated leaf formation and increased the concentration of pigments in them. A similar effect was observed when potatoes were exposed to Mn/AG NC, and an increase in growth and root formation was also observed. Infection of plants with Cms inhibited plant growth. Treatment with each of the NCs mitigated this negative effect of the phytopathogen. At the same time, Se/AG and Mn/AG NCs promoted leaf formation. Se/AG NC increased the biomass of Cms-infected plants. Treatment of plants with NCs before infection showed a decrease in the intensity of colonization of plants by bacteria. The Se/AG NC had the maximum effect, which is probably due to its high antioxidant capacity. Thus, the NCs are able to mitigate the negative effect of bacterial phytopathogens on vegetation and the intensity of colonization by these bacteria during infection of cultivated plants.
The effect of chemically synthesized nanocomposites (NCs) of selenium (Se/AG NC), copper oxide (Cu/AG NC) and manganese hydroxide (Mn/AG NC) based on the natural polymer arabinogalactan (AG) on the processes of growth, development and colonization of potato plants in vitro was studied upon infection with the causative agent of potato blackleg – the Gram-negative bacterium Pectobacterium carotovorum and the causative agent of ring rot – the Gram-positive bacterium Clavibacter sepedonicus (Cms). It was shown that infection of potatoes with P. carotovorum reduced root formation of plants and the concentration of pigments in leaf tissues. Treatment of plants with Cu/AG NC before infection with P. carotovorum stimulated leaf formation and increased the concentration of pigments in them. A similar effect was observed when potatoes were exposed to Mn/AG NC, and an increase in growth and root formation was also observed. Infection of plants with Cms inhibited plant growth. Treatment with each of the NCs mitigated this negative effect of the phytopathogen. At the same time, Se/AG and Mn/AG NCs promoted leaf formation. Se/AG NC increased the biomass of Cms-infected plants. Treatment of plants with NCs before infection showed a decrease in the intensity of colonization of plants by bacteria. The Se/AG NC had the maximum effect, which is probably due to its high antioxidant capacity. Thus, the NCs are able to mitigate the negative effect of bacterial phytopathogens on vegetation and the intensity of colonization by these bacteria during infection of cultivated plants.
Posted: 21 November 2024
Latest Trends on Insect Larvae, Their Enzymes and Their Gut Microbiota to Degrade PlasticLatest Trends on Insect Larvae, Their Enzymes and Their Gut Microbiota to Degrade Plastic
Isabel Vital Vilchis,
Esther Karunakaran
Posted: 21 November 2024
Niche Evolution and Conservation of a Chinese Endemic Genus Sinojackia (Styracaceae)
Miao Feng,
Ji-Si Zhang
Posted: 21 November 2024
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