The Global Intellectual Disability Nursing Research Collaboratory: Forming an international transformational nursing network.

AIM: This paper explains how we created the Global Intellectual Disability Nurse Research Collaboratory (GIDNRC), a transformative network. The GIDNRC aims to make improvements in the understanding, research, policy, clinical care, and support provided to people with an intellectual disability. BACKGROUND: In 2022, the World Health Organization (WHO) called upon healthcare leaders internationally to take actions to promote more equal healthcare for disabled persons. This paper promotes the GIDNRC as a way for professionals to work together to make more equal healthcare throughout the world for people with intellectual disabilities. SOURCES OF EVIDENCE: We created this paper by reviewing peer-reviewed literature and research, international policies, and nursing networking initiatives. DISCUSSION: This paper explores current policy, research, and practice issues that formed the basis of beginning the GIDNRC, including how the COVID-19 pandemic changed care. CONCLUSION: Nurses are over 50% of the world's health workforce. Therefore, they have the potential to make a large impact in making care for people with intellectual disability much more equal than currently exists throughout the world. However, barriers exist. Forming the GIDNRC, as well as using the World Wide Web, offers an opportunity to address barriers to this goal. IMPLICATIONS FOR NURSING PRACTICE: Nurses can address the needs of people with intellectual disability in their daily nursing practice. The GIDNRC aims to strengthen these clinical skills, understand how care may vary throughout the world, and share knowledge, good practices, and new ways to approach care for people with an intellectual disability worldwide. IMPLICATIONS FOR NURSING POLICY: International nursing policy should actively focus on the needs of people with intellectual disabilities and the role nurses play in addressing these health needs. The GIDNRC may provide an important way to achieve developments in this policy.

A deep learning-based simulator for comprehensive two-dimensional GC applications.

Among the main approaches for predicting the spatial positions of eluates in comprehensive two-dimensional gas chromatography, the still under-explored computational models based on deep learning algorithms emerge as robust and reliable options due to their high adaptability to the structure and complexity of the data. In this work, an open-source program based on deep neural networks was developed to optimize chromatographic methods and simulate operating conditions outside the laboratory. The deep neural networks models were fit to convenient experimental predictors, resulting in scaled losses (mean squared error) equivalent to 0.006 (relative average deviation = 8.56%, R2  = 0.9202) and 0.014 (relative average deviation = 1.67%, R2  = 0.8009) in the prediction of the first- and second-dimension retention times, respectively. Good compliance was observed for the main chemical classes, such as environmental contaminants: volatile, semivolatile organic compounds, and pesticides; biochemistry molecules: amino acids and lipids; pharmaceutical industry and personal care products and residues: drugs and metabolites; among others. On the other hand, there is a need for continuous database updates to predict retention times of less common compounds accurately. Thus, forming a collaborative database is proposed, gathering voluntary findings from other users.

The TiME Trial: A Fully Embedded, Cluster-Randomized, Pragmatic Trial of Hemodialysis Session Duration.

BACKGROUND: Data from clinical trials to inform practice in maintenance hemodialysis are limited. Incorporating randomized trials into dialysis clinical care delivery should help generate practice-guiding evidence, but the feasibility of this approach has not been established. METHODS: To develop approaches for embedding trials into routine delivery of maintenance hemodialysis, we performed a cluster-randomized, pragmatic trial demonstration project, the Time to Reduce Mortality in ESRD (TiME) trial, evaluating effects of session duration on mortality (primary outcome) and hospitalization rate. Dialysis facilities randomized to the intervention adopted a default session duration ≥4.25 hours (255 minutes) for incident patients; those randomized to usual care had no trial-driven approach to session duration. Implementation was highly centralized, with no on-site research personnel and complete reliance on clinically acquired data. We used multiple strategies to engage facility personnel and participating patients. RESULTS: The trial enrolled 7035 incident patients from 266 dialysis units. We discontinued the trial at a median follow-up of 1.1 years because of an inadequate between-group difference in session duration. For the primary analysis population (participants with estimated body water ≤42.5 L), mean session duration was 216 minutes for the intervention group and 207 minutes for the usual care group. We found no reduction in mortality or hospitalization rate for the intervention versus usual care. CONCLUSIONS: Although a highly pragmatic design allowed efficient enrollment, data acquisition, and monitoring, intervention uptake was insufficient to determine whether longer hemodialysis sessions improve outcomes. More effective strategies for engaging clinical personnel and patients are likely required to evaluate clinical trial interventions that are fully embedded in care delivery.

Statistical lessons learned for designing cluster randomized pragmatic clinical trials from the NIH Health Care Systems Collaboratory Biostatistics and Design Core.

BACKGROUND/AIMS: Pragmatic clinical trials embedded within health care systems provide an important opportunity to evaluate new interventions and treatments. Networks have recently been developed to support practical and efficient studies. Pragmatic trials will lead to improvements in how we deliver health care and promise to more rapidly translate research findings into practice. METHODS: The National Institutes of Health (NIH) Health Care Systems Collaboratory was formed to conduct pragmatic clinical trials and to cultivate collaboration across research areas and disciplines to develop best practices for future studies. Through a two-stage grant process including a pilot phase (UH2) and a main trial phase (UH3), investigators across the Collaboratory had the opportunity to work together to improve all aspects of these trials before they were launched and to address new issues that arose during implementation. Seven Cores were created to address the various considerations, including Electronic Health Records; Phenotypes, Data Standards, and Data Quality; Biostatistics and Design Core; Patient-Reported Outcomes; Health Care Systems Interactions; Regulatory/Ethics; and Stakeholder Engagement. The goal of this article is to summarize the Biostatistics and Design Core's lessons learned during the initial pilot phase with seven pragmatic clinical trials conducted between 2012 and 2014. RESULTS: Methodological issues arose from the five cluster-randomized trials, also called group-randomized trials, including consideration of crossover and stepped wedge designs. We outlined general themes and challenges and proposed solutions from the pilot phase including topics such as study design, unit of randomization, sample size, and statistical analysis. Our findings are applicable to other pragmatic clinical trials conducted within health care systems. CONCLUSION: Pragmatic clinical trials using the UH2/UH3 funding mechanism provide an opportunity to ensure that all relevant design issues have been fully considered in order to reliably and efficiently evaluate new interventions and treatments. The integrity and generalizability of trial results can only be ensured if rigorous designs and appropriate analysis choices are an essential part of their research protocols.

Heart Failure Drug Development Over the Eras: From the Heart Failure Collaboratory.

Over the past decade, the field of heart failure (HF) has witnessed remarkable progress in drug development, resulting in the approval of numerous groundbreaking drugs by the U.S. Food and Drug Administration. To address some of these challenges, the U.S. Food and Drug Administration has issued guidance documents that have been critical in contemporary HF drug development; however, there are still many challenges in need of investigation. This article leverages efforts of the Heart Failure Collaboratory and the scientific community to discuss the critical need for innovative trial designs, important concepts in clinical trials in the modern era, and the utilization of big data to accelerate HF drug development. At this inflection point in HF drug development, it is imperative that, as a global scientific community, we foster increased collaboration among researchers, clinicians, patients, and regulatory bodies. Only through such unified efforts can we navigate the complexities of HF, accelerate the development process, and ultimately deliver effective therapies that transform patient outcomes.

Factors of Engagement in Research After Graduation from EP Fellowship: an HRS Survey.

BACKGROUND: The declining number of electrophysiologists pursuing academic research careers could negatively impact innovation for patients with heart rhythm disorders in the coming decades. OBJECTIVE: To explore determinants of research engagement after graduation from EP fellowship programs and evaluate associated barriers and opportunities. METHODS: A mixed methods survey of EP fellows and early career electrophysiologists was conducted, drawing from Heart Rhythm Society members. The survey encompassed 20 questions on demographics, research involvement, perceived research barriers, and perspectives on research time and opportunities. Responses were analyzed with robust Poisson regression. RESULTS: Among 259 respondents, those with dedicated research blocks during their fellowship had a significantly higher interest in future research (RR 1.15, p=0.04). The number of peer-reviewed publications modestly influenced interest in continued research (RR 1.0034 per publication, p < 0.0001), but there was no relationship to gender or race. Educational resources, networking opportunities, mentorship, funding, and protected time to enhance research engagement were important themes in the qualitative analysis, while key barriers to post-fellowship research were lack of mentorship, insufficient resources and time constraints in that order, particular with respect to women in research. Notably, no significant differences in barriers were observed between community training programs and academic centers. CONCLUSIONS: Research experience and mentorship during EP fellowship were key determinants of subsequent research success after training, with similar findings by sex and race. These findings explain how fellowship training influences a physician's research practice post training and highlights opportunities to modify EP fellowships and augment research retention.

Rethinking heart failure clinical trials: the heart failure collaboratory.

The Heart Failure Collaboratory (HFC) is a consortium of stakeholders in the heart failure (HF) community that aims to improve the infrastructure of clinical research to promote development of novel therapies for patients. Since its launch in 2018, HFC has implemented several solutions to tackle obstacles in HF clinical research including training programs to increase the number of clinicians skilled in conducting clinical trials, novel study designs, and advocacy for a diverse and inclusive HF research ecosystem. We highlight some of the HFC successes since its establishment.

Opportunities and challenges in heart rhythm research: Rationale and development of an electrophysiology collaboratory.

There are many challenges in the current landscape of electrophysiology (EP) clinical and translational research, including increasing costs and complexity, competing demands, regulatory requirements, and challenges with study implementation. This review seeks to broadly discuss the state of EP research, including challenges and opportunities. Included here are results from a Heart Rhythm Society (HRS) Research Committee member survey detailing HRS members' perspectives regarding both barriers to clinical and translational research and opportunities to address these challenges. We also provide stakeholder perspectives on barriers and opportunities for future EP research, including input from representatives of the U.S. Food and Drug Administration, industry, and research funding institutions that participated in a Research Collaboratory Summit convened by HRS. This review further summarizes the experiences of the heart failure and heart valve communities and how they have approached similar challenges in their own fields. We then explore potential solutions, including various models of research ecosystems designed to identify research challenges and to coordinate ways to address them in a collaborative fashion in order to optimize innovation, increase efficiency of evidence generation, and advance the development of new therapeutic products. The objectives of the proposed collaborative cardiac EP research community are to encourage and support scientific discourse, research efficiency, and evidence generation by exploring collaborative and equitable solutions in which stakeholders within the EP community can interact to address knowledge gaps, innovate, and advance new therapies.

Effects of Dapagliflozin According to the Heart Failure Collaboratory Medical Therapy Score: Insights From DAPA-HF.

BACKGROUND: The Heart Failure Collaboratory (HFC) has developed a score integrating classes and doses of guideline-directed medical therapies prescribed for patients with heart failure (HF) and reduced ejection fraction. One potential use of this score is to test whether new treatments demonstrate incremental benefits, even in patients receiving comprehensive guideline-directed medical therapy. OBJECTIVES: The authors investigated the efficacy of dapagliflozin according to a modified HFC score in the DAPA-HF (Dapagliflozin And Prevention of Adverse outcomes in Heart Failure) trial. METHODS: In DAPA-HF, 4,744 patients with HF and reduced ejection fraction were randomized to dapagliflozin or placebo. The modified HFC score accounted for race and electrocardiogram rhythm and rate, with a maximum possible score of 100%. The primary outcome was the composite of worsening HF or cardiovascular death. RESULTS: The median modified HFC score was 50% (IQR: 27.5%-62.5%; range 0%-100%). Compared with the lowest tertile, the highest tertile of the treatment score was associated with a lower risk of worsening HF or cardiovascular death (tertile 1, reference; tertile 2, HR: 0.97 [95% CI: 0.82-1.14]; tertile 3, HR: 0.83 [95% CI: 0.70-0.99]). Dapagliflozin reduced the risk of worsening HF or cardiovascular death, irrespective of treatment score (the HRs for dapagliflozin vs placebo from tertile 1 to 3 were: 0.76 [95% CI: 0.61-0.94], 0.76 [95% CI: 0.60-0.97], and 0.71 [95% CI: 0.55-0.90]), respectively; Pinteraction = 0.89). Consistent benefits were observed for HF hospitalization, cardiovascular death, all-cause mortality, and improvement in the Kansas City Cardiomyopathy Questionnaire total symptom score (KCCQ-TTS). CONCLUSIONS: Dapagliflozin, compared with placebo, improved all outcomes examined, regardless of the modified HFC score. This score can be easily calculated in clinical trials and used to evaluate the incremental effects of new treatments. (Study to Evaluate the Effect of Dapagliflozin on the Incidence of Worsening Heart Failure or Cardiovascular Death in Patients With Chronic Heart Failure [DAPA-HF]; NCT03036124).

Identification of SARS-CoV-2 RNA-dependent RNA polymerase inhibitors from the major phytochemicals of Nigella sativa: An in silico approach.

The coronavirus disease 2019 (COVID-19), which emerged in December 2019, continues to be a serious health concern worldwide. There is an urgent need to develop effective drugs and vaccines to control the spread of this disease. In the current study, the main phytochemical compounds of Nigella sativa were screened for their binding affinity for the active site of the RNA-dependent RNA polymerase (RdRp) enzyme of the severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2). The binding affinity was investigated using molecular docking methods, and the interaction of phytochemicals with the RdRp active site was analyzed and visualized using suitable software. Out of the nine phytochemicals of N. sativa screened in this study, a significant docking score was observed for four compounds, namely α-hederin, dithymoquinone, nigellicine, and nigellidine. Based on the findings of our study, we report that α-hederin, which was found to possess the lowest binding energy (-8.6 kcal/mol) and hence the best binding affinity, is the best inhibitor of RdRp of SARS-CoV-2, among all the compounds screened here. Our results prove that the top four potential phytochemical molecules of N. sativa, especially α-hederin, could be considered for ongoing drug development strategies against SARS-CoV-2. However, further in vitro and in vivo testing are required to confirm the findings of this study.

Learning health systems from an academic perspective: establishing a collaboratory within a school of medicine and health sciences.

Learning Health Systems (LHSs) seek continuous improvement through the translation and integration of internally and externally generated knowledge across stakeholders within and external to the organization, yet current approaches are primarily described from the healthcare delivery perspective, leaving teaching and research responsibilities underexposed. Academic medical centers offer a unique perspective on LHSs because their mission includes teaching, research, and healthcare. This introduces an opportunity to enact, educate, and study processes and outcomes of LHSs within a single system. Little information is available to describe these processes and outcomes, resulting in a knowledge gap regarding the role of education and research in the quality improvement cycles and learning of LHSs. To close this knowledge gap, The George Washington University School of Medicine and Health Sciences initiated the Health Research and Education Collaboratory (GW Collaboratory) in 2017. The GW Collaboratory was established to study mechanisms supporting continuous quality improvement and learning in health systems within an academic medical center. We envision the GW Collaboratory as interconnected knowledge nodes facilitating collaboration among clinicians, patients, researchers, and educators to study the knowledge generation, dissemination, application, and evaluation required for continuous quality improvement and learning. We employ a project-based approach to foster communities of learning focused on exploring specific health problems of interest. We propose the GW Collaboratory as one model by which academic medical centers can contribute to the science of LHS.

CoLabS: A collaborative space for transdisciplinary work in sustainable community development.

Currently, the need for transdisciplinary approaches and collaboration, to reduce the gap between science and practice, is continuously rising along with the need for sustainable development. An increase in knowledge transfer, meetings and overall communication among researchers and practitioners is a logical consequence of the previous. However, the resulting higher transaction costs, mainly related to transportation-related greenhouse gas emissions (and additional financial costs) involved in face-to-face meetings, are in direct conflict with the urgent need to reduce our carbon footprint. This research explored the development of an online platform, "CoLabS", specifically designed as a virtual meeting and learning space to support collaboration within and between communities to accelerate sustainable community development efforts. While the move towards online collaboration in virtual environments has steadily increased in the past decade, it has now become essential due to the COVID-19 pandemic. Based on the feedback provided by focus groups, the collaboratory platform's design and usability as well as the technical aspects and its functionality are discussed in this paper.

Phytoconstituents from ten natural herbs as potent inhibitors of main protease enzyme of SARS-COV-2: In silico study.

Background: Lack of treatment of novel Coronavirus disease led to the search of specific antivirals that are capable to inhibit the replication of the virus. The plant kingdom has demonstrated to be an important source of new molecules with antiviral potential. Purpose: The present study aims to utilize various computational tools to identify the most eligible drug candidate that have capabilities to halt the replication of SARS-COV-2 virus by inhibiting Main protease (Mpro) enzyme. Methods: We have selected plants whose extracts have inhibitory potential against previously discovered coronaviruses. Their phytoconstituents were surveyed and a library of 100 molecules was prepared. Then, computational tools such as molecular docking, ADMET and molecular dynamic simulations were utilized to screen the compounds and evaluate them against Mpro enzyme. Results: All the phytoconstituents showed good binding affinities towards Mpro enzyme. Among them laurolitsine possesses the highest binding affinity i.e. -294.1533 kcal/mol. On ADMET analysis of best three ligands were simulated for 1.2 ns, then the stable ligand among them was further simulated for 20 ns. Results revealed that no conformational changes were observed in the laurolitsine w.r.t. protein residues and low RMSD value suggested that the Laurolitsine-protein complex was stable for 20 ns. Conclusion: Laurolitsine, an active constituent of roots of Lindera aggregata, was found to be having good ADMET profile and have capabilities to halt the activity of the enzyme. Therefore, this makes laurolitsine a good drug candidate for the treatment of COVID-19.

Strategy for addressing research-site overlap in pragmatic clinical trials: lessons learned from the NIH-DOD-VA Pain Management Collaboratory (PMC).

BACKGROUND: The Pain Management Collaboratory (PMC) is a multi-site network of pragmatic clinical trials (PCTs) focused on nonpharmacological approaches to pain management, conducted in health care systems of the US Department of Defense (DoD) and Department of Veterans Affairs (VA) and co-funded by the National Institutes of Health (NIH). Concerns about potential research-site overlap prompted the PMC investigator community to consider strategies to avert this problem that could negatively affect recruitment and contaminate interventions and thus pose a threat to trial integrity. METHODS: We developed a two-step strategy to identify and remediate research-site overlap by obtaining detailed recruitment plans across all PMC PCTs that addressed eligibility criteria, recruitment methods, trial settings, and timeframes. The first, information-gathering phase consisted of a 2-month period for data collection from PIs, stakeholders, and ClinicalTrials.gov . The second, remediation phase consisted of a series of moderated conference calls over a 1-month time period to develop plans to address overlap. Remediation efforts focused on exclusion criteria and recruitment strategies, and they involved collaboration with sponsors and stakeholder groups such as the Military Treatment Facility Engagement Committee (MTFEC). The MTFEC is comprised of collaborating DoD and university-affiliated PIs, clinicians, and educators devoted to facilitating successful pragmatic trials in DoD settings. RESULTS: Of 61 recruitment sites for the 11 PMC PCTs, 17 (28%) overlapped. Four PCTs had five overlapping Military Treatment Facilities (MTFs), and eight PCTs had 12 overlapping VA Medical Centers (VAMCs). We developed three general strategies to avoid research-site overlap: (i) modify exclusion criteria, (ii) coordinate recruitment efforts, and/or (iii) replace or avoid any overlapping sites. Potential overlap from competing studies outside of the PMC was apparent at 26 sites, but we were not able to confirm them as true conflicts. CONCLUSION: Proactive strategies can be used to resolve the issue of overlapping research sites in the PMC. These strategies, combined with open and impartial mediation approaches that include researchers, sponsors, and stakeholders, provide lessons learned from this large and complex pragmatic research effort.

How Structural Biologists and the Protein Data Bank Contributed to Recent FDA New Drug Approvals.

Discovery and development of 210 new molecular entities (NMEs; new drugs) approved by the US Food and Drug Administration 2010-2016 was facilitated by 3D structural information generated by structural biologists worldwide and distributed on an open-access basis by the PDB. The molecular targets for 94% of these NMEs are known. The PDB archive contains 5,914 structures containing one of the known targets and/or a new drug, providing structural coverage for 88% of the recently approved NMEs across all therapeutic areas. More than half of the 5,914 structures were published and made available by the PDB at no charge, with no restrictions on usage >10 years before drug approval. Citation analyses revealed that these 5,914 PDB structures significantly affected the very large body of publicly funded research reported in publications on the NME targets that motivated biopharmaceutical company investment in discovery and development programs that produced the NMEs.

Parsing the functional specificity of Siderocalin/Lipocalin 2/NGAL for siderophores and related small-molecule ligands.

Siderocalin/Lipocalin 2/Neutrophil Gelatinase Associated Lipocalin/24p3 is an innate immune system protein with bacteriostatic activity, acting by tightly binding and sequestering diverse catecholate and mixed-type ferric siderophores from enteric bacteria and mycobacteria. Bacterial virulence achieved through siderophore modifications, or utilization of alternate siderophores, can be explained by evasion of Siderocalin binding. Siderocalin has also been implicated in a wide variety of disease processes, though often in seemingly contradictory ways, and has been proposed to bind to a broader array of ligands beyond siderophores. Using structural, directed mutational, and binding studies, we have sought to rigorously test, and fully elucidate, the Siderocalin recognition mechanism. Several proposed ligands fail to meet rigorous binding criteria, including the bacterial siderophore pyochelin, the iron-chelating catecholamine hormone norepinephrine, and the bacterial second messenger cyclic diguanylate monophosphate. While possessing a remarkably rigid structure, in principle simplifying analyses of ligand recognition, understanding Scn recognition is complicated by the observed conformational and stoichiometric plasticity, and instability, of its bona fide siderophore ligands. Since the role of Siderocalin at the early host/pathogen interface is to compete for bacterial ferric siderophores, we also analyzed how bacterial siderophore binding proteins and enzymes alternately recognize siderophores that efficiently bind to, or evade, Siderocalin sequestration - including determining the crystal structure of Bacillus cereus YfiY bound to schizokinen. These studies combine to refine the potential physiological functions of Siderocalin by defining its multiplexed recognition mechanism.

Using a Virtual Community (the Health Equity Learning Collaboratory) to Support Early-Stage Investigators Pursuing Grant Funding.

Junior investigators often have limited access to networks of scientific experts and resources that facilitate competitive grant submissions. Since environments in which scientists are trained are critically important for long-term success, we built and tested a virtual environment for early-stage investigators (ESIs) working on grant proposals. The aim of this study was to evaluate the virtual community's influence on grant submission patterns among participants from underrepresented groups. As part of a grant writing coaching model, junior investigators were recruited into a professional development program designed to develop competitive grantsmanship skills. Designed by the Research Resources and Outreach Core (RROC) of the National Research Mentoring Network (NRMN), the Health Equity Learning Collaboratory (EQ-Collaboratory) provided a virtual community for social support, accountability, constructive feedback, and access to peer networks to help investigators overcome barriers to grant submission. This study assessed differences in outcomes for participants who completed the training within the EQ-Collaboratory compared to those who did not. The analyzed data revealed a statistically significant difference in the average time to submission for participants enrolled in the EQ-Collaboratory. EQ-Collaboratory ESIs submitted proposals 148.6 days earlier, (p < 0.0001). The results suggest that a supportive virtual environment can help investigators more quickly overcome barriers to grant submission.

RCSB Protein Data Bank: Sustaining a living digital data resource that enables breakthroughs in scientific research and biomedical education.

The Protein Data Bank (PDB) is one of two archival resources for experimental data central to biomedical research and education worldwide (the other key Primary Data Archive in biology being the International Nucleotide Sequence Database Collaboration). The PDB currently houses >134,000 atomic level biomolecular structures determined by crystallography, NMR spectroscopy, and 3D electron microscopy. It was established in 1971 as the first open-access, digital-data resource in biology, and is managed by the Worldwide Protein Data Bank partnership (wwPDB; wwpdb.org). US PDB operations are conducted by the RCSB Protein Data Bank (RCSB PDB; RCSB.org; Rutgers University and UC San Diego) and funded by NSF, NIH, and DoE. The RCSB PDB serves as the global Archive Keeper for the wwPDB. During calendar 2016, >591 million structure data files were downloaded from the PDB by Data Consumers working in every sovereign nation recognized by the United Nations. During this same period, the RCSB PDB processed >5300 new atomic level biomolecular structures plus experimental data and metadata coming into the archive from Data Depositors working in the Americas and Oceania. In addition, RCSB PDB served >1 million RCSB.org users worldwide with PDB data integrated with ∼40 external data resources providing rich structural views of fundamental biology, biomedicine, and energy sciences, and >600,000 PDB101.rcsb.org educational website users around the globe. RCSB PDB resources are described in detail together with metrics documenting the impact of access to PDB data on basic and applied research, clinical medicine, education, and the economy.

Structural distortions due to missense mutations in human formylglycine-generating enzyme leading to multiple sulfatase deficiency.

The major candidate for multiple sulfatase deficiency is a defective formylglycine-generating enzyme (FGE). Though adequately produced, mutations in FGE stall the activation of sulfatases and prevent their activity. Missense mutations, viz. E130D, S155P, A177P, W179S, C218Y, R224W, N259I, P266L, A279V, C336R, R345C, A348P, R349Q and R349W associated with multiple sulfatase deficiency are yet to be computationally studied. Aforementioned mutants were initially screened through ws-SNPs&GO3D program. Mutant R345C acquired the highest score, and hence was studied in detail. Discrete molecular dynamics explored structural distortions due to amino acid substitution. Therein, comparative analyses of wild type and mutant were carried out. Changes in structural contours were observed between wild type and mutant. Mutant had low conformational fluctuation, high atomic mobility and more compactness than wild type. Moreover, free energy landscape showed mutant to vary in terms of its conformational space as compared to wild type. Subsequently, wild type and mutant were subjected to single-model analyses. Mutant had lesser intra molecular interactions than wild type suggesting variations pertaining to its secondary structure. Furthermore, simulated thermal denaturation showed dissimilar pattern of hydrogen bond dilution. Effects of these variations were observed as changes in elements of secondary structure. Docking studies of mutant revealed less favourable binding energy towards its substrate as compared to wild type. Therefore, theoretical explanations for structural distortions of mutant R345C leading to multiple sulfatase deficiency were revealed. The protocol of the study could be useful to examine the effectiveness of pharmacological chaperones prior to experimental studies.