RESUMO
We modeled 3D structures of all SARS-CoV-2 proteins, generating 2,060 models that span 69% of the viral proteome and provide details not available elsewhere. We found that Ë6% of the proteome mimicked human proteins, while Ë7% was implicated in hijacking mechanisms that reverse post-translational modifications, block host translation, and disable host defenses; a further Ë29% self-assembled into heteromeric states that provided insight into how the viral replication and translation complex forms. To make these 3D models more accessible, we devised a structural coverage map, a novel visualization method to show what is-and is not-known about the 3D structure of the viral proteome. We integrated the coverage map into an accompanying online resource (https://aquaria.ws/covid) that can be used to find and explore models corresponding to the 79 structural states identified in this work. The resulting Aquaria-COVID resource helps scientists use emerging structural data to understand the mechanisms underlying coronavirus infection and draws attention to the 31% of the viral proteome that remains structurally unknown or dark.
Assuntos
Enzima de Conversão de Angiotensina 2/metabolismo , Interações Hospedeiro-Patógeno/genética , Processamento de Proteína Pós-Traducional , SARS-CoV-2/metabolismo , Glicoproteína da Espícula de Coronavírus/metabolismo , Sistemas de Transporte de Aminoácidos Neutros/química , Sistemas de Transporte de Aminoácidos Neutros/genética , Sistemas de Transporte de Aminoácidos Neutros/metabolismo , Enzima de Conversão de Angiotensina 2/química , Enzima de Conversão de Angiotensina 2/genética , Sítios de Ligação , COVID-19/genética , COVID-19/metabolismo , COVID-19/virologia , Biologia Computacional/métodos , Proteínas do Envelope de Coronavírus/química , Proteínas do Envelope de Coronavírus/genética , Proteínas do Envelope de Coronavírus/metabolismo , Proteínas do Nucleocapsídeo de Coronavírus/química , Proteínas do Nucleocapsídeo de Coronavírus/genética , Proteínas do Nucleocapsídeo de Coronavírus/metabolismo , Humanos , Proteínas de Transporte da Membrana Mitocondrial/química , Proteínas de Transporte da Membrana Mitocondrial/genética , Proteínas de Transporte da Membrana Mitocondrial/metabolismo , Proteínas do Complexo de Importação de Proteína Precursora Mitocondrial , Modelos Moleculares , Mimetismo Molecular , Neuropilina-1/química , Neuropilina-1/genética , Neuropilina-1/metabolismo , Fosfoproteínas/química , Fosfoproteínas/genética , Fosfoproteínas/metabolismo , Ligação Proteica , Conformação Proteica em alfa-Hélice , Conformação Proteica em Folha beta , Domínios e Motivos de Interação entre Proteínas , Mapeamento de Interação de Proteínas/métodos , Multimerização Proteica , SARS-CoV-2/química , SARS-CoV-2/genética , Glicoproteína da Espícula de Coronavírus/química , Glicoproteína da Espícula de Coronavírus/genética , Proteínas da Matriz Viral/química , Proteínas da Matriz Viral/genética , Proteínas da Matriz Viral/metabolismo , Proteínas Viroporinas/química , Proteínas Viroporinas/genética , Proteínas Viroporinas/metabolismo , Replicação ViralRESUMO
This paper describes a collaborative surgical training prototype using haptics, which has been able to operate across the world. It allows two users to collaboratively manipulate a simulation of pliable human body organs, as well as guide each other's 'hands' over 22,000 km of internet connection. It uses a force impulse collection mechanism feeding haptics data to a single physics server program. The server runs a 'pseudo' physics model that is resilient to latency.
Assuntos
Colecistectomia/educação , Educação Médica/métodos , Internet , Interface Usuário-Computador , Austrália , HumanosRESUMO
Collections of biological specimens are fundamental to scientific understanding and characterization of natural diversity-past, present and future. This paper presents a system for liberating useful information from physical collections by bringing specimens into the digital domain so they can be more readily shared, analyzed, annotated and compared. It focuses on insects and is strongly motivated by the desire to accelerate and augment current practices in insect taxonomy which predominantly use text, 2D diagrams and images to describe and characterize species. While these traditional kinds of descriptions are informative and useful, they cannot cover insect specimens "from all angles" and precious specimens are still exchanged between researchers and collections for this reason. Furthermore, insects can be complex in structure and pose many challenges to computer vision systems. We present a new prototype for a practical, cost-effective system of off-the-shelf components to acquire natural-colour 3D models of insects from around 3 mm to 30 mm in length. ("Natural-colour" is used to contrast with "false-colour", i.e., colour generated from, or applied to, gray-scale data post-acquisition.) Colour images are captured from different angles and focal depths using a digital single lens reflex (DSLR) camera rig and two-axis turntable. These 2D images are processed into 3D reconstructions using software based on a visual hull algorithm. The resulting models are compact (around 10 megabytes), afford excellent optical resolution, and can be readily embedded into documents and web pages, as well as viewed on mobile devices. The system is portable, safe, relatively affordable, and complements the sort of volumetric data that can be acquired by computed tomography. This system provides a new way to augment the description and documentation of insect species holotypes, reducing the need to handle or ship specimens. It opens up new opportunities to collect data for research, education, art, entertainment, biodiversity assessment and biosecurity control.