Connected Histories of the BBC: Opening up the BBC Oral History Archive to the Digital Domain

This article describes the computational and data-related challenges of the “Connected Histories of the BBC” project, an interdisciplinary project aiming to bring into the public realm some of the hidden treasures of the BBC's own Oral History Archive through the creation of an openly accessible, fully searchable and interconnected digital catalogue of this archive. This project stands as an interesting case study on the tensions between “computational” and “archival”, by critically designing and employing computational approaches for an historical, complex Oral History collection of scattered analogue records of various forms with an archival pre-history. From data acquisition, modeling, structuring and enhancement, metadata, data analysis procedures, to web design and legal issues, this paper discusses the various computational challenges, processes and decisions made during this project, while showcasing the principles of (re)usability, accessibility, and collaboration throughout its course.

Structure Determination of Microtubules and Pili: Past, Present, and Future Directions

Historically proteins that form highly polymeric and filamentous assemblies have been notoriously difficult to study using high resolution structural techniques. This has been due to several factors that include structural heterogeneity, their large molecular mass, and available yields. However, over the past decade we are now seeing a major shift towards atomic resolution insight and the study of more complex heterogenous samples and in situ/ex vivo examination of multi-subunit complexes. Although supported by developments in solid state nuclear magnetic resonance spectroscopy (ssNMR) and computational approaches, this has primarily been due to advances in cryogenic electron microscopy (cryo-EM). The study of eukaryotic microtubules and bacterial pili are good examples, and in this review, we will give an overview of the technical innovations that have enabled this transition and highlight the advancements that have been made for these two systems. Looking to the future we will also describe systems that remain difficult to study and where further technical breakthroughs are required.

In-silico characterization of phytochemicals identified from Vitex negundo (L) extract as potential therapy for Wnt-signaling proteins

Background Colorectal cancer is the third most diagnosed disease in the world population and current chemotherapy has been used for targeting the cell proliferation and metastasizing ability of tumor cells. Potent chemotherapeutic drugs for colorectal cancer are capecitabine, fluorouracil, irinotecan, etc. which have toxic effects in normal tissues and adverse effects in multiple organs leading to major obstacles in clinical use. The aim of the study is the use of plant-derived compounds that improve the effectiveness of chemotherapeutics with lower and alleviate toxic side effects and reduce the risk of tumor progression. Results The current study is performed using Vitex negundo leaf which has been demonstrated to have positive effects against colorectal cancer. The use of computational approaches will help improve the identification and screening of lead molecules using AutoDock 4.2 and AutoDock Vina. Using computational approaches will help to improve lead identification and screening. Herein, we have retrieved six phytochemicals from published literature and investigated their inhibitory effect with Wnt-associated signaling proteins. Authentication of phytocompounds and Wnt-associated signaling proteins was done using AutoDock.4.2. Conclusions The results are screened based on the number of hydrogen bonds, binding energy, and interacting amino acids. The Isoorientin, luteolin, and Chrysophanol get the highest binding energy with target receptors. The binding energy is calculated with all target receptors from the range of − 6.0 to − 8.9 kcal/mol. The In-silico drug likeliness properties are predicted to be the best interacting compounds based on Lipinski Rule of 5 and ADMET analysis. Hence, we propose that Isoorientin, luteolin, and Chrysophanol are the potential inhibitors of Wnt signaling inhibitors, and preclinical studies are needed to confirm the promising therapeutic ability of colorectal cancer.

Role of Probiotics in the Management of COVID-19: A Computational Perspective

Coronavirus disease 2019 (COVID-19) was declared a pandemic at the beginning of 2020, causing millions of deaths worldwide. Millions of vaccine doses have been administered worldwide; however, outbreaks continue. Probiotics are known to restore a stable gut microbiota by regulating innate and adaptive immunity within the gut, demonstrating the possibility that they may be used to combat COVID-19 because of several pieces of evidence suggesting that COVID-19 has an adverse impact on gut microbiota dysbiosis. Thus, probiotics and their metabolites with known antiviral properties may be used as an adjunctive treatment to combat COVID-19. Several clinical trials have revealed the efficacy of probiotics and their metabolites in treating patients with SARS-CoV-2. However, its molecular mechanism has not been unraveled. The availability of abundant data resources and computational methods has significantly changed research finding molecular insights between probiotics and COVID-19. This review highlights computational approaches involving microbiome-based approaches and ensemble-driven docking approaches, as well as a case study proving the effects of probiotic metabolites on SARS-CoV-2.