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A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

A very broad and active community of structural bioinformaticians exists across Europe. The structural Bioinformatics Community (3D-BioInfo) was officially created in May 2019. Our mission will be to better integrate protein structure-based data and tools across Europe, and to improve standardisation through better ontologies for the data and agreed benchmarking of methods. We will also strengthen the ties with the structural biology research communities in Europe and undertake dedicated educational, training and outreach efforts.

This project will focus on four main topics:

1. Infrastructure for FAIR structural and functional annotations

2. Standards and workflows for annotating and characterising biologically meaningful 3D structures of macromolecular assemblies

3. Biomacromolecule-ligand interactions

4. Tools to build and analyze Nucleic Acid structures: interoperability and FAIR data 

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This implementation study will create infrastructure to chart the experimentally sampled
conformational diversity of native proteins by exploiting data from the PDB, augmented with
results of state-of-the-art computational tools. By integrating resources/tools, workflows will be
developed to

i) Compare and cluster different conformations adopted by homologs of the same
protein,

ii) Identify protein regions with different flexibility properties.

Pipelines will be created to characterize conformational ensembles in terms of

i) The types of motions described (thermal fluctuations; collective motions),

ii) Their functional relevance, using sequence information and functional annotations.

These data will be integrated into the PDBe Knowledge Base and presented in the aggregated views (PDBe is an ELIXIR-Core-Data-Resource), which are freely available to the scientific community. Applications of these new capabilities will be explored in a joint gap analysis with the IDP and Proteomics Communities, including joint meetings, in order to identify future implementations that best serve ELIXIR goals.

This project will increase interoperability between four ELIXIR resources (CATH, SWISS-MODEL, InterPro and PDBe), three of which are Core Resources, by building APIs that facilitate the import and export of data between them.

The ultimate goal is to improve provision of 3D-Models for protein domain sequences via CATH, SWISS-MODEL and InterPro. Less than 10% of known sequences have experimentally characterised 3D structural information and yet this data is often essential for understanding the protein’s molecular function and biological role and for determining whether residue mutations could damage the protein and lead to disease. So this integration is very timely as it will enhance links between sequence and structure data.

APIs will be built using well-established protocols and as well as promoting interoperability, and therefore sustainability, we will expand the data in each resource to ensure they serve a wider community of biologists.

This project will increase interoperability between four ELIXIR resources (CATH, SWISS-MODEL, InterPro and PDBe), three of which are Core Resources, by building APIs that facilitate the import and export of data between them.

The ultimate goal is to improve provision of 3D-Models for protein domain sequences via CATH, SWISS-MODEL and InterPro. Less than 10% of known sequences have experimentally characterised 3D structural information and yet this data is often essential for understanding the protein’s molecular function and biological role and for determining whether residue mutations could damage the protein and lead to disease. So this integration is very timely as it will enhance links between sequence and structure data.

APIs will be built using well-established protocols and as well as promoting interoperability, and therefore sustainability, we will expand the data in each resource to ensure they serve a wider community of biologists.

This project will increase interoperability between four ELIXIR resources (CATH, SWISS-MODEL, InterPro and PDBe), three of which are Core Resources, by building APIs that facilitate the import and export of data between them.

The ultimate goal is to improve provision of 3D-Models for protein domain sequences via CATH, SWISS-MODEL and InterPro. Less than 10% of known sequences have experimentally characterised 3D structural information and yet this data is often essential for understanding the protein’s molecular function and biological role and for determining whether residue mutations could damage the protein and lead to disease. So this integration is very timely as it will enhance links between sequence and structure data.

APIs will be built using well-established protocols and as well as promoting interoperability, and therefore sustainability, we will expand the data in each resource to ensure they serve a wider community of biologists.