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190 results for “knowledge base”
Data from: Knowledge-based prediction of protein backbone conformation using a structural alphabet
Libraries of structural prototypes that abstract protein local structures are known as structural alphabets and have proven to be very useful in various aspects of protein structure analyses and predictions. One such library, Protein Blocks, is composed of 16 standard 5-residues long structural prototypes. This form of analyzing proteins involves drafting its structure as a string of Protein Blocks. Predicting the local structure of a protein in terms of protein blocks is the general objective of this work. A new approach, PB-kPRED is proposed towards this aim. It involves (i) organizing the structural knowledge in the form of a database of pentapeptide fragments extracted from all protein structures in the PDB and (ii) applying a knowledge-based algorithm that does not rely on any secondary structure predictions and/or sequence alignment profiles, to scan this database and predict most probable backbone conformations for the protein local structures. Though PB-kPRED uses the structural information from homologues in preference, if available. The predictions were evaluated rigorously on 15,544 query proteins representing a non-redundant subset of the PDB filtered at 30% sequence identity cut-off. We have shown that the kPRED method was able to achieve mean accuracies ranging from 40.8% to 66.3% depending on the availability of homologues. The impact of the different strategies for scanning the database on the prediction was evaluated and is discussed. Our results highlights the usefulness of the method in the context of proteins without any known structural homologues. A scoring function that gives a good estimate of the accuracy of prediction was further developed. This score estimates very well the accuracy of the algorithm (R2 of 0.82). An online version of the tool is provided freely for non-commercial usage at http://www.bo-protscience.fr/kpred/.
A data-and-knowledge driven structure-based molecular generative framework
<p>Dataset for pretraining and finetuning of PocketFlow.</p>
Congruence of local ecological knowledge (LEK)-based methods and line-transect surveys in estimating wildlife abundance in Amazonian forests
<p>1) Effective estimation of wildlife population abundance is an important component of population monitoring, and ultimately essential for the development of conservation actions. Diurnal line transect surveys are one of the most applied methods for abundance estimations. Local ecological knowledge (LEK) is empirically acquired through the observation of ecological processes by local people. LEK-based methods have only been recognized as valid scientific methods for surveying fauna abundance in the last three decades. However, the agreement between both methods has not been extensively analysed.</p> <p>2) We compared concomitant abundance data for 91 wild species (mammals, birds and tortoises) from diurnal line transects (9,221 km of trails) and a LEK-based method (291 structured interviews) at 18 sites in Central and Western Amazonia. We used biological and socioecological factors to assess the agreements and divergences between abundance indices obtained from both methods.</p> <p>3) We found a significant agreement of population abundance indices for diurnal and game species. This relationship was also positive regardless of species sociality (solitary or social), body size and locomotion mode (terrestrial and arboreal); and of sampled forest type (upland and flooded forests). Conversely, we did not find significant abundance covariances for nocturnal and non-game species. Despite the general agreement between methods, line transects were not effective at surveying many species occurring in the area, with 40.2% and 39.8% of all species being rarely and never detected in at least one of the survey sites. On the other hand, these species were widely reported by local informants to occur at intermediate to high abundances.</p> <p>4) Although LEK-based methods have been long neglected by ecologists, our comparative study demonstrated their effectiveness for estimating vertebrate abundance of a wide diversity of taxa and forest environments. This can be used simultaneously with line transects surveys to calibrate abundance estimates and record species that are rarely sighted during surveys on foot, but that are often observed by local people during their daily extractive activities. Thus, the combination of local and scientific knowledge is a potential tool to improve our knowledge of tropical forest species and foster the development of effective strategies to meet biodiversity conservation goals. --</p>
AddictedChem: A comprehensive addictive compound knowledge base and integrated analysis platform
<p>Please refer to http://design.rxnfinder.org/addictedchem/prediction.</p>
Retrieving API knowledge from Tutorials and Stack Overflow based on Natural Language Queries
<p>The replication package of PLAN</p>
Data for The "Effect of Semantic Knowledge Graph Richness on Embedding Based Recommender Systems"
Open the record for dataset details and reuse information.
OUTSOURCING IN THE FIELD OF DOCUMENTATION SUPPORT OF ORGANIZATIONAL MANAGEMENT, BASED ON KNOWLEDGE
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Evidence-based dentistry and research methodology knowledge among orthodontic postgraduate residents in four universities
<p>Dataset for all analyses</p>
FIGURE 3 in Enabling comparisons of characters using an Xper2 based knowledge-base of fern morphology
FIGURE 3. Part of the matrix of descriptions obtained from the knowledge base.
FIGURE 2 in Enabling comparisons of characters using an Xper2 based knowledge-base of fern morphology
FIGURE 2. Part of the exhaustive description of Metaclepsydropsis in a taxonomic form.
A federated learning framework based on transfer learning and knowledge distillation for targeted advertising-Ad Display/Click Data on Taobao.com dataset
<p>https://tianchi.aliyun.com/dataset/56</p>
Omaha System-Based Health Application on Improving Knowledge, Attitude, and Behaviors Regarding Infectious Disease Prevention in the Community
ClinicalTrials.gov study NCT07048301. IPD Sharing: NO. Countries: 0. Publications: 1.
Individually Tailored Web-based Cbt for Eating Disorders and the Role of Knowledge Acquisition
ClinicalTrials.gov study NCT02700620. IPD Sharing: YES. Countries: 0. Publications: 1.
Knowledge-based Iterative Model Reconstruction at Low-kilovoltage (kV) Cardiac Computed Tomography (CT)
ClinicalTrials.gov study NCT01896674. IPD Sharing: Not stated. Countries: 0. Publications: 1.
The Effect of a Transtheoretical Model-Based Educational Intervention on First-Year Nursing Students' HPV Knowledge, Health Beliefs, and Vaccination Behavior Intentions
ClinicalTrials.gov study NCT07248904. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Psychoeducation -Based Motivational Interviewing on Knowledge and Hope in Schizophrenia
ClinicalTrials.gov study NCT07365982. IPD Sharing: NO. Countries: 1. Publications: 0.
Effectiveness of Internet-based Injury Prevention Program in Enhancing Mother's Knowledge on Child Safety
ClinicalTrials.gov study NCT02835768. IPD Sharing: Not stated. Countries: 0. Publications: 1.
Impact of Simulation-Based Teaching on Knowledge Acquisition in Anesthesiology Residents During Wartime
ClinicalTrials.gov study NCT07336784. IPD Sharing: YES. Countries: 1. Publications: 0.
Evaluating the Effect of an Evidence-Based One Page With Supplemental Visual Aids on the Knowledge and Perceptions of Blood Pressure Management Among Adults With Hypertension
ClinicalTrials.gov study NCT04824560. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Knowledge-based prediction of protein backbone conformation using a structural alphabet
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.