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2.
Molecules ; 26(4)2021 Feb 19.
Artículo en Inglés | MEDLINE | ID: mdl-33669763

RESUMEN

Computer aided drug-design methods proved to be powerful tools for the identification of new therapeutic agents. We employed a structure-based workflow to identify new inhibitors targeting mTOR kinase at rapamycin binding site. By combining molecular dynamics (MD) simulation and pharmacophore modelling, a simplified structure-based pharmacophore hypothesis was built starting from the FKBP12-rapamycin-FRB ternary complex retrieved from RCSB Protein Data Bank (PDB code 1FAP). Then, the obtained model was used as filter to screen the ZINC biogenic compounds library, containing molecules derived from natural sources or natural-inspired compounds. The resulting hits were clustered according to their similarity; moreover, compounds showing the highest pharmacophore fit-score were chosen from each cluster. The selected molecules were subjected to docking studies to clarify their putative binding mode. The binding free energy of the obtained complexes was calculated by MM/GBSA method and the hits characterized by the lowest ΔGbind values were identified as potential mTOR inhibitors. Furthermore, the stability of the resulting complexes was studied by means of MD simulation which revealed that the selected compounds were able to form a stable ternary complex with FKBP12 and FRB domain, thus underlining their potential ability to inhibit mTOR with a rapamycin-like mechanism.


Asunto(s)
Simulación por Computador , Inhibidores de Proteínas Quinasas/farmacología , Sirolimus/farmacología , Bibliotecas de Moléculas Pequeñas/farmacología , Serina-Treonina Quinasas TOR/antagonistas & inhibidores , Sitios de Unión , Evaluación Preclínica de Medicamentos , Simulación del Acoplamiento Molecular , Simulación de Dinámica Molecular , Dominios Proteicos , Proteína 1A de Unión a Tacrolimus/química , Proteína 1A de Unión a Tacrolimus/metabolismo , Interfaz Usuario-Computador
3.
Methods Mol Biol ; 2266: 125-140, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33759124

RESUMEN

Rational drug discovery relies heavily on molecular docking-based virtual screening, which samples flexibly the ligand binding poses against the target protein's structure. The upside of flexible docking is that the geometries of the generated docking poses are adjusted to match the residue alignment inside the target protein's ligand-binding pocket. The downside is that the flexible docking requires plenty of computing resources and, regardless, acquiring a decent level of enrichment typically demands further rescoring or post-processing. Negative image-based screening is a rigid docking technique that is ultrafast and computationally light but also effective as proven by vast benchmarking and screening experiments. In the NIB screening, the target protein cavity's shape/electrostatics is aligned and compared against ab initio-generated ligand 3D conformers. In this chapter, the NIB methodology is explained at the practical level and both its weaknesses and strengths are discussed candidly.


Asunto(s)
Descubrimiento de Drogas/métodos , Simulación del Acoplamiento Molecular/métodos , Proteínas/química , Algoritmos , Sitios de Unión , Cristalografía por Rayos X , Ciclooxigenasa 2/química , Bases de Datos de Proteínas , Ligandos , Modelos Moleculares , Conformación Molecular , Unión Proteica , Curva ROC , Bibliotecas de Moléculas Pequeñas/química , Programas Informáticos , Electricidad Estática , Interfaz Usuario-Computador
4.
Sensors (Basel) ; 21(5)2021 Feb 24.
Artículo en Inglés | MEDLINE | ID: mdl-33668275

RESUMEN

Although the interaction technology for virtual reality (VR) systems has evolved significantly over the past years, the text input efficiency in the virtual environment is still an ongoing problem. We deployed a word-gesture text entry technology based on gesture recognition in the virtual environment. This study aimed to investigate the performance of the word-gesture text entry technology with different input postures and VR experiences in the virtual environment. The study revealed that the VR experience (how long or how often using VR) had little effect on input performance. The hand-up posture has a better input performance when using word-gesture text entry technology in a virtual environment. In addition, the study found that the perceived exertion to complete the text input with word-gesture text entry technology was relatively high. Furthermore, the typing accuracy and perceived usability for using the hand-up posture were obviously higher than that for the hand-down posture. The hand-up posture also had less task workload than the hand-down posture. This paper supports that the word-gesture text entry technology with hand-up posture has greater application potential than hand-down posture.


Asunto(s)
Gestos , Interfaz Usuario-Computador , Realidad Virtual , Mano , Humanos , Postura
5.
CMAJ Open ; 9(1): E142-E148, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33653769

RESUMEN

BACKGROUND: After nonelective (i.e., semiurgent, urgent and emergent) surgeries, patients discharged from hospitals are at risk of readmissions, emergency department visits or death. During the coronavirus disease 2019 (COVID-19) pandemic, we are undertaking the Post Discharge after Surgery Virtual Care with Remote Automated Monitoring Technology (PVC-RAM) trial to determine if virtual care with remote automated monitoring (RAM) compared with standard care will increase the number of days adult patients remain alive at home after being discharged following nonelective surgery. METHODS: We are conducting a randomized controlled trial in which 900 adults who are being discharged after nonelective surgery from 8 Canadian hospitals are randomly assigned to receive virtual care with RAM or standard care. Outcome adjudicators are masked to group allocations. Patients in the experimental group learn how to use the study's tablet computer and RAM technology, which will measure their vital signs. For 30 days, patients take daily biophysical measurements and complete a recovery survey. Patients interact with nurses via the cellular modem-enabled tablet, who escalate care to preassigned and available physicians if RAM measurements exceed predetermined thresholds, patients report symptoms, a medication error is identified or the nurses have concerns they cannot resolve. The primary outcome is number of days alive at home during the 30 days after randomization. INTERPRETATION: This trial will inform management of patients after discharge following surgery in the COVID-19 pandemic and offer insights for management of patients who undergo nonelective surgery in a nonpandemic setting. Knowledge dissemination will be supported through an online multimedia resource centre, policy briefs, presentations, peer-reviewed journal publications and media engagement. TRIAL REGISTRATION: ClinicalTrials.gov, no. NCT04344665.


Asunto(s)
Cuidados Posteriores/tendencias , Monitoreo Ambulatorio/métodos , Alta del Paciente/normas , Consulta Remota/instrumentación , Adulto , /epidemiología , Canadá/epidemiología , Computadoras de Mano/provisión & distribución , Humanos , Persona de Mediana Edad , Periodo Posoperatorio , Interfaz Usuario-Computador
6.
Appl Clin Inform ; 12(2): 229-236, 2021 03.
Artículo en Inglés | MEDLINE | ID: mdl-33763847

RESUMEN

BACKGROUND: Queensland, Australia has been successful in containing the COVID-19 pandemic. Underpinning that response has been a highly effective virus containment strategy which relies on identification, isolation, and contact tracing of cases. The dramatic emergence of the COVID-19 pandemic rendered traditional paper-based systems for managing contact tracing no longer fit for purpose. A rapid digital transformation of the public health contact tracing system occurred to support this effort. OBJECTIVES: The objectives of the digital transformation were to shift legacy systems (paper or standalone electronic systems) to a digitally enabled public health system, where data are centered around the consumer rather than isolated databases. The objective of this paper is to outline this case study and detail the lessons learnt to inform and give confidence to others contemplating digitization of public health systems in response to the COVID-19 pandemic. METHODS: This case study is set in Queensland, Australia. Universal health care is available. A multidisciplinary team was established consisting of clinical informaticians, developers, data strategists, and health information managers. An agile "pair-programming" approach was undertaken to application development and extensive change efforts were made to maximize adoption of the new digital workflows. Data governance and flows were changed to support rapid management of the pandemic. RESULTS: The digital coronavirus application (DCOVA) is a web-based application that securely captures information about people required to quarantine and creates a multiagency secure database to support a successful containment strategy. CONCLUSION: Most of the literature surrounding digital transformation allows time for significant consultation, which was simply not possible under crisis conditions. Our observation is that staff was willing to adopt new digital systems because the reason for change (the COVID-19 pandemic) was clearly pressing. This case study highlights just how critical a unified purpose, is to successful, rapid digital transformation.


Asunto(s)
/epidemiología , Informática Médica , Pandemias , Salud Pública , Confidencialidad , Conducta Cooperativa , Política de Salud , Humanos , Privacidad , Riesgo , Seguridad , Interfaz Usuario-Computador
7.
Database (Oxford) ; 20212021 03 31.
Artículo en Inglés | MEDLINE | ID: mdl-33787872

RESUMEN

Understanding the underlying molecular and structural similarities between seemingly heterogeneous sets of drugs can aid in identifying drug repurposing opportunities and assist in the discovery of novel properties of preclinical small molecules. A wealth of information about drug and small molecule structure, targets, indications and side effects; induced gene expression signatures; and other attributes are publicly available through web-based tools, databases and repositories. By processing, abstracting and aggregating information from these resources into drug set libraries, knowledge about novel properties of drugs and small molecules can be systematically imputed with machine learning. In addition, drug set libraries can be used as the underlying database for drug set enrichment analysis. Here, we present Drugmonizome, a database with a search engine for querying annotated sets of drugs and small molecules for performing drug set enrichment analysis. Utilizing the data within Drugmonizome, we also developed Drugmonizome-ML. Drugmonizome-ML enables users to construct customized machine learning pipelines using the drug set libraries from Drugmonizome. To demonstrate the utility of Drugmonizome, drug sets from 12 independent SARS-CoV-2 in vitro screens were subjected to consensus enrichment analysis. Despite the low overlap among these 12 independent in vitro screens, we identified common biological processes critical for blocking viral replication. To demonstrate Drugmonizome-ML, we constructed a machine learning pipeline to predict whether approved and preclinical drugs may induce peripheral neuropathy as a potential side effect. Overall, the Drugmonizome and Drugmonizome-ML resources provide rich and diverse knowledge about drugs and small molecules for direct systems pharmacology applications. Database URL: https://maayanlab.cloud/drugmonizome/.


Asunto(s)
/tratamiento farmacológico , Bases de Datos Farmacéuticas , /efectos de los fármacos , Antivirales/química , Antivirales/farmacología , Descubrimiento de Drogas , Evaluación Preclínica de Medicamentos , Reposicionamiento de Medicamentos , Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos , Humanos , Técnicas In Vitro , Aprendizaje Automático , Enfermedades del Sistema Nervioso Periférico/inducido químicamente , Bibliotecas de Moléculas Pequeñas , Interfaz Usuario-Computador , Replicación Viral/efectos de los fármacos
8.
Medicine (Baltimore) ; 100(13): e25276, 2021 Apr 02.
Artículo en Inglés | MEDLINE | ID: mdl-33787612

RESUMEN

ABSTRACT: Clinical information systems (CISs) that do not consider usability and safety could lead to harmful events. Therefore, we aimed to develop a safety and usability guideline of CISs that is comprehensive for both users and developers. And the guideline was categorized to apply actual clinical workflow and work environment.The guideline components were extracted through a systematic review of the articles published between 2000 and 2015, and existing CIS safety and/or usability design guidelines. The guideline components were categorized according to clinical workflow and types of user interface (UI). The contents of the guideline were evaluated and validated by experts with 3 specialties: medical informatics, patient safety, and human engineering.Total 1276 guideline components were extracted through article and guideline review. Of these, 464 guideline components were categorized according to 5 divisions of the clinical workflow: "Data identification and selection," "Document entry," "Order entry," "Clinical decision support and alert," and "Management". While 521 guideline components were categorized according to 4 divisions of UI: UIs related to information process steps, "Perception," "Recognition," "Control," and "Feedback". We developed a guideline draft with 219 detailed guidance for clinical task and 70 for UI. Overall appropriateness and comprehensiveness were proven to achieve more than 90% in experts' survey. However, there were significant differences among the groups of specialties in the judgment of appropriateness (P < .001) and comprehensiveness (P = .038).We developed and verified a safety and usability guideline for CIS that qualifies the requirements of both clinical workflows and usability issues. The developed guideline can be a practical tool to enhance the usability and safety of CISs. Further validation is required by applying the guideline for designing the actual CIS.


Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas/normas , Aplicaciones de la Informática Médica , Interfaz Usuario-Computador , Ergonomía , Humanos , Errores Médicos/prevención & control , Seguridad del Paciente , Flujo de Trabajo
9.
Sensors (Basel) ; 21(4)2021 Feb 23.
Artículo en Inglés | MEDLINE | ID: mdl-33672161

RESUMEN

The traditional systems used in the physiotherapy rehabilitation process are evolving towards more advanced systems that use virtual reality (VR) environments so that the patient in the rehabilitation process can perform various exercises in an interactive way, thus improving the patient's motivation and reducing the therapist's work. The paper presents a VR simulator for an intelligent robotic system of physiotherapeutic rehabilitation of the ankle of a person who has had a stroke. This simulator can interact with a real human subject by attaching a sensor that contains a gyroscope and accelerometer to identify the position and acceleration of foot movement on three axes. An electromyography (EMG) sensor is also attached to the patient's leg muscles to measure muscle activity because a patient who is in a worse condition has weaker muscle activity. The data collected from the sensors are taken by an intelligent module that uses machine learning to create new levels of exercise and control of the robotic rehabilitation structure of the virtual environment. Starting from these objectives, the virtual reality simulator created will have a low dependence on the therapist, this being the main improvement over other simulators already created for this purpose.


Asunto(s)
Terapia por Ejercicio , Procedimientos Quirúrgicos Robotizados , Realidad Virtual , Tobillo , Articulación del Tobillo , Humanos , Interfaz Usuario-Computador
10.
Sensors (Basel) ; 21(4)2021 Feb 14.
Artículo en Inglés | MEDLINE | ID: mdl-33672934

RESUMEN

Applications related to smart cities require virtual cities in the experimental development stage. To build a virtual city that are close to a real city, a large number of various types of human models need to be created. To reduce the cost of acquiring models, this paper proposes a method to reconstruct 3D human meshes from single images captured using a normal camera. It presents a method for reconstructing the complete mesh of the human body from a single RGB image and a generative adversarial network consisting of a newly designed shape-pose-based generator (based on deep convolutional neural networks) and an enhanced multi-source discriminator. Using a machine learning approach, the reliance on multiple sensors is reduced and 3D human meshes can be recovered using a single camera, thereby reducing the cost of building smart cities. The proposed method achieves an accuracy of 92.1% in body shape recovery; it can also process 34 images per second. The method proposed in this paper approach significantly improves the performance compared with previous state-of-the-art approaches. Given a single view image of various humans, our results can be used to generate various 3D human models, which can facilitate 3D human modeling work to simulate virtual cities. Since our method can also restore the poses of the humans in the image, it is possible to create various human poses by given corresponding images with specific human poses.


Asunto(s)
Cuerpo Humano , Procesamiento de Imagen Asistido por Computador , Ciudades , Humanos , Redes Neurales de la Computación , Interfaz Usuario-Computador
12.
Appl Clin Inform ; 12(1): 170-178, 2021 01.
Artículo en Inglés | MEDLINE | ID: mdl-33694142

RESUMEN

OBJECTIVE: This study examines the validity of optical mark recognition, a novel user interface, and crowdsourced data validation to rapidly digitize and extract data from paper COVID-19 assessment forms at a large medical center. METHODS: An optical mark recognition/optical character recognition (OMR/OCR) system was developed to identify fields that were selected on 2,814 paper assessment forms, each with 141 fields which were used to assess potential COVID-19 infections. A novel user interface (UI) displayed mirrored forms showing the scanned assessment forms with OMR results superimposed on the left and an editable web form on the right to improve ease of data validation. Crowdsourced participants validated the results of the OMR system. Overall error rate and time taken to validate were calculated. A subset of forms was validated by multiple participants to calculate agreement between participants. RESULTS: The OMR/OCR tools correctly extracted data from scanned forms fields with an average accuracy of 70% and median accuracy of 78% when the OMR/OCR results were compared with the results from crowd validation. Scanned forms were crowd-validated at a mean rate of 157 seconds per document and a volume of approximately 108 documents per day. A randomly selected subset of documents was reviewed by multiple participants, producing an interobserver agreement of 97% for documents when narrative-text fields were included and 98% when only Boolean and multiple-choice fields were considered. CONCLUSION: Due to the COVID-19 pandemic, it may be challenging for health care workers wearing personal protective equipment to interact with electronic health records. The combination of OMR/OCR technology, a novel UI, and crowdsourcing data-validation processes allowed for the efficient extraction of a large volume of paper medical documents produced during the COVID-19 pandemic.


Asunto(s)
/diagnóstico , Intercambio de Información en Salud , Almacenamiento y Recuperación de la Información , Colaboración de las Masas , Humanos , Médicos , Interfaz Usuario-Computador
13.
Nat Methods ; 18(2): 186-193, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-33542511

RESUMEN

Cryo-electron microscopy (cryo-EM) enables macromolecular structure determination in vitro and inside cells. In addition to aligning individual particles, accurate registration of sample motion and three-dimensional deformation during exposures are crucial for achieving high-resolution reconstructions. Here we describe M, a software tool that establishes a reference-based, multi-particle refinement framework for cryo-EM data and couples a comprehensive spatial deformation model to in silico correction of electron-optical aberrations. M provides a unified optimization framework for both frame-series and tomographic tilt-series data. We show that tilt-series data can provide the same resolution as frame-series data on a purified protein specimen, indicating that the alignment step no longer limits the resolution obtainable from tomographic data. In combination with Warp and RELION, M resolves to residue level a 70S ribosome bound to an antibiotic inside intact bacterial cells. Our work provides a computational tool that facilitates structural biology in cells.


Asunto(s)
Antibacterianos/metabolismo , Microscopía por Crioelectrón/métodos , Ribosomas/metabolismo , Procesamiento de Imagen Asistido por Computador/métodos , Interfaz Usuario-Computador
16.
Nat Genet ; 53(3): 403-411, 2021 03.
Artículo en Inglés | MEDLINE | ID: mdl-33633365

RESUMEN

The advent of single-cell chromatin accessibility profiling has accelerated the ability to map gene regulatory landscapes but has outpaced the development of scalable software to rapidly extract biological meaning from these data. Here we present a software suite for single-cell analysis of regulatory chromatin in R (ArchR; https://www.archrproject.com/ ) that enables fast and comprehensive analysis of single-cell chromatin accessibility data. ArchR provides an intuitive, user-focused interface for complex single-cell analyses, including doublet removal, single-cell clustering and cell type identification, unified peak set generation, cellular trajectory identification, DNA element-to-gene linkage, transcription factor footprinting, mRNA expression level prediction from chromatin accessibility and multi-omic integration with single-cell RNA sequencing (scRNA-seq). Enabling the analysis of over 1.2 million single cells within 8 h on a standard Unix laptop, ArchR is a comprehensive software suite for end-to-end analysis of single-cell chromatin accessibility that will accelerate the understanding of gene regulation at the resolution of individual cells.


Asunto(s)
Cromatina , Análisis de la Célula Individual/métodos , Programas Informáticos , Animales , Cromatina/genética , Cromatina/metabolismo , Análisis por Conglomerados , Regulación de la Expresión Génica , Genoma , Humanos , Ratones , Análisis de Secuencia de ARN/métodos , Factores de Transcripción/genética , Factores de Transcripción/metabolismo , Interfaz Usuario-Computador , Navegador Web
17.
BMC Neurol ; 21(1): 63, 2021 Feb 10.
Artículo en Inglés | MEDLINE | ID: mdl-33568101

RESUMEN

BACKGROUND: Limited research exists to guide clinical decisions about trialling, selecting, implementing and evaluating eye-gaze control technology. This paper reports on the outcomes of a Delphi study that was conducted to build international stakeholder consensus to inform decision making about trialling and implementing eye-gaze control technology with people with cerebral palsy. METHODS: A three-round online Delphi survey was conducted. In Round 1, 126 stakeholders responded to questions identified through an international stakeholder Advisory Panel and systematic reviews. In Round 2, 63 respondents rated the importance of 200 statements generated by in Round 1. In Round 3, 41 respondents rated the importance of the 105 highest ranked statements retained from Round 2. RESULTS: Stakeholders achieved consensus on 94 of the original 200 statements. These statements related to person factors, support networks, the environment, and technical aspects to consider during assessment, trial, implementation and follow-up. Findings reinforced the importance of an individualised approach and that information gathered from the user, their support network and professionals are central when measuring outcomes. Information required to support an application for funding was obtained. CONCLUSION: This Delphi study has identified issues which are unique to eye-gaze control technology and will enhance its implementation with people with cerebral palsy.


Asunto(s)
Parálisis Cerebral , Toma de Decisiones Clínicas , Fijación Ocular , Tecnología/instrumentación , Interfaz Usuario-Computador , Adolescente , Adulto , Niño , Consenso , Técnica Delfos , Femenino , Humanos , Masculino , Encuestas y Cuestionarios
18.
Nurs Res ; 70(2): 132-141, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33630536

RESUMEN

OBJECTIVE: The aim of this study was to describe computational ethnography as a contemporary and supplemental methodology in EHR workflow analysis and the relevance of this method to nursing research. METHODS: We explore the use of audit logs as a computational ethnographic data source and the utility of data mining techniques, including sequential pattern mining (SPM) and Markov chain analysis (MCA), to analyze nurses' workflow within the EHRs. SPM extracts frequent patterns in a given transactional database (e.g., audit logs from the record). MCA is a stochastic process that models a sequence of states and allows for calculating the probability of moving from one state to the next. These methods can help uncover nurses' global navigational patterns (i.e., how nurses navigate within the record) and enable robust workflow analyses. RESULTS: We demonstrate hypothetical examples from SPM and MCA, such as (a) the most frequent sequential pattern of nurses' workflow when navigating the EHR using SPM and (b) transition probability from one record screen to the next using MCA. These examples demonstrate new methods to address the inflexibility of current approaches used to examine nursing EHR workflow. DISCUSSION: Within a clinical context, the use of computational ethnographic data and data mining techniques can inform the optimization of the EHR. Results from these analyses can be used to supplement the data needed in redesigning the EHR, such as organizing and combining features within a screen or predicting future navigation to improve the record that nurses use.


Asunto(s)
Actitud del Personal de Salud , Registros Electrónicos de Salud/organización & administración , Almacenamiento y Recuperación de la Información/métodos , Atención de Enfermería/organización & administración , Carga de Trabajo/estadística & datos numéricos , Humanos , Investigación en Enfermería , Interfaz Usuario-Computador , Flujo de Trabajo
19.
PLoS One ; 16(2): e0246150, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-33534852

RESUMEN

A coronavirus pandemic caused by a novel coronavirus (SARS-CoV-2) has spread rapidly worldwide since December 2019. Improved understanding and new strategies to cope with novel coronaviruses are urgently needed. Viruses (especially RNA viruses) encode a limited number and size (length of polypeptide chain) of viral proteins and must interact with the host cell components to control (hijack) the host cell machinery. To achieve this goal, the extensive mimicry of SLiMs in host proteins provides an effective strategy. However, little is known regarding SLiMs in coronavirus proteins and their potential targets in host cells. The objective of this study is to uncover SLiMs in coronavirus proteins that are present within host cells. These SLiMs have a high possibility of interacting with host intracellular proteins and hijacking the host cell machinery for virus replication and dissemination. In total, 1,479 SLiM hits were identified in the 16 proteins of 590 coronaviruses infecting humans. Overall, 106 host proteins were identified that may interact with SLiMs in 16 coronavirus proteins. These SLiM-interacting proteins are composed of many intracellular key regulators, such as receptors, transcription factors and kinases, and may have important contributions to virus replication, immune evasion and viral pathogenesis. A total of 209 pathways containing proteins that may interact with SLiMs in coronavirus proteins were identified. This study uncovers potential mechanisms by which coronaviruses hijack the host cell machinery. These results provide potential therapeutic targets for viral infections.


Asunto(s)
Infecciones por Coronavirus/patología , Coronavirus del Síndrome Respiratorio de Oriente Medio/metabolismo , Virus del SRAS/metabolismo , Proteínas Virales/metabolismo , Secuencias de Aminoácidos , Infecciones por Coronavirus/virología , Bases de Datos de Proteínas , Humanos , Coronavirus del Síndrome Respiratorio de Oriente Medio/aislamiento & purificación , Filogenia , Dominios y Motivos de Interacción de Proteínas , Proteínas/química , Proteínas/clasificación , Virus del SRAS/aislamiento & purificación , Transducción de Señal/genética , Interfaz Usuario-Computador , Proteínas Virales/química , Proteínas Virales/clasificación
20.
Nat Genet ; 53(2): 243-253, 2021 02.
Artículo en Inglés | MEDLINE | ID: mdl-33526925

RESUMEN

Extensive allelic variation in agronomically important genes serves as the basis of rice breeding. Here, we present a comprehensive map of rice quantitative trait nucleotides (QTNs) and inferred QTN effects based on eight genome-wide association study cohorts. Population genetic analyses revealed that domestication, local adaptation and heterosis are all associated with QTN allele frequency changes. A genome navigation system, RiceNavi, was developed for QTN pyramiding and breeding route optimization, and implemented in the improvement of a widely cultivated indica variety. This work presents an efficient platform that bridges ever-increasing genomic knowledge and diverse improvement needs in rice.


Asunto(s)
Mapeo Cromosómico , Oryza/genética , Fitomejoramiento/métodos , Frecuencia de los Genes , Genética de Población , Genoma de Planta , Estudio de Asociación del Genoma Completo , Vigor Híbrido , Proteínas de Plantas/genética , Polimorfismo de Nucleótido Simple , Sitios de Carácter Cuantitativo , Programas Informáticos , Interfaz Usuario-Computador
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