Personal information

protein structure prediction, computational methods
Spain

Activities

Employment (2)

Lund University: Lund, SE

2020-04-01 to present | postdoctoral fellow (Biochemistry and Structural Biology)
Employment
Source: Self-asserted source
Daniel Varela

Universidade da Coruña: A Coruna, Galicia, ES

2017-11-01 to 2019-11-29 | Phd Student (Computation)
Employment
Source: Self-asserted source
Daniel Varela

Education and qualifications (3)

Universidade da Coruña: A Coruna, Galicia, ES

2015-06-01 to present | Doctoral program (Computation)
Education
Source: Self-asserted source
Daniel Varela

Universidade da Coruña: A Coruna, Galicia, ES

2012-10-01 to 2014-05-01 | Master's Degree in Computer Science
Education
Source: Self-asserted source
Daniel Varela

Universidade da Coruña: A Coruna, Galicia, ES

2008-10-01 to 2012-05-01 | Technical Engineer in Computer Management
Education
Source: Self-asserted source
Daniel Varela

Funding (3)

Margarita Salas scholarships for the training of young doctors

Prediction of the structure of SARS-CoV-2 proteins with artificial intelligence techniques

2020-11 to 2021-12 | Grant
Xunta de Galicia (A Coruna, Galicia, ES)
GRANT_NUMBER:

IN845D 2020/02

Source: Self-asserted source
Daniel Varela

Grants to support the predoctoral stage at SUG universities

2016-10 to 2019-08 | Contract
Xunta de Galicia (A Coruna, ES)
GRANT_NUMBER: ED481A-2016/265
Source: Self-asserted source
Daniel Varela

Works (14)

The intracellular helical bundle of human glucose transporter GLUT4 is important for complex formation with ASPL

FEBS Open Bio
2023-11 | Journal article
Part of ISSN: 2211-5463
Part of ISSN: 2211-5463
Contributors: Peng Huang; Hannah Åbacka; Daniel Varela; Raminta Venskutonytė; Lotta Happonen; Jonathan Bogan; Pontus Gourdon; Mahmood R. Amiry‐Moghaddam; Ingmar André; Karin Lindkvist
Source: Self-asserted source
Daniel Varela

Energy Minimization vs. Deep Learning Approaches for Protein Structure Prediction

Bio-inspired Systems and Applications: from Robotics to Ambient Intelligence
2022 | Book chapter
Part of ISBN: 9783031065262
Part of ISBN: 9783031065279
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Daniel Varela

Protein structure prediction in an atomic model with differential evolution integrated with the crowding niching method

Natural Computing
2022-12 | Journal article
Contributors: Daniel Varela; José Santos
Source: check_circle
Crossref

A memetic algorithm enables efficient local and global all-atom protein-protein docking with backbone and side-chain flexibility

Structure
2022-11 | Journal article
Contributors: Daniel Varela; Vera Karlin; Ingemar André
Source: check_circle
Crossref

Niching methods integrated with a differential evolution memetic algorithm for protein structure prediction

Swarm and Evolutionary Computation
2022-06 | Journal article
Part of ISSN: 2210-6502
Source: Self-asserted source
Daniel Varela

Evolving cellular automata schemes for protein folding modeling using the Rosetta atomic representation

Genetic Programming and Evolvable Machines
2022-01-16 | Journal article
Part of ISSN: 1389-2576
Part of ISSN: 1573-7632
Source: Self-asserted source
Daniel Varela

A memetic algorithm enables efficient local and global all-atom protein-protein docking with backbone and sidechain flexibility

2021-04-13 | Preprint
Contributors: Daniel Varela; Vera Karlin; Ingemar André
Source: check_circle
Crossref

Crowding Differential Evolution for Protein Structure Prediction

From Bioinspired Systems and Biomedical Applications to Machine Learning
2019 | Book chapter
Part of ISBN: 9783030196509
Part of ISBN: 9783030196516
Part of ISSN: 0302-9743
Part of ISSN: 1611-3349
Source: Self-asserted source
Daniel Varela
grade
Preferred source (of 2)‎

Automatically obtaining a cellular automaton scheme for modeling protein folding using the FCC model

Natural Computing
2018-08 | Journal article
Part of ISSN: 1567-7818
Contributors: Daniel Varela; José Santos
Source: Self-asserted source
Daniel Varela via Crossref Metadata Search
grade
Preferred source (of 2)‎

A Hybrid Evolutionary Algorithm for Protein Structure Prediction Using the Face-Centered Cubic Lattice Model

Neural Information Processing
2017 | Other
Part of ISBN: 9783319700861
Part of ISSN: 0302-9743
Contributors: Daniel Varela; José Santos
Source: Self-asserted source
Daniel Varela via Crossref Metadata Search
grade
Preferred source (of 2)‎

A protein folding model using the face-centered cubic lattice model

Proceedings of the Genetic and Evolutionary Computation Conference Companion on - GECCO '17
2017 | Conference paper
Part of ISBN: 9781450349390
Contributors: Daniel Varela; José Santos
Source: Self-asserted source
Daniel Varela via Crossref Metadata Search
grade
Preferred source (of 2)‎

Protein Folding Modeling with Neural Cellular Automata Using the Face-Centered Cubic Model

Natural and Artificial Computation for Biomedicine and Neuroscience
2017 | Other
Part of ISBN: 9783319597393
Part of ISSN: 0302-9743
Contributors: Daniel Varela; José Santos
Source: Self-asserted source
Daniel Varela via Crossref Metadata Search
grade
Preferred source (of 2)‎

Protein Folding Modeling with Neural Cellular Automata Using Rosetta

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion
2016 | Conference paper
Part of ISBN: 9781450343237
Contributors: Daniel Varela; José Santos
Source: Self-asserted source
Daniel Varela via Crossref Metadata Search
grade
Preferred source (of 2)‎

Combination of Differential Evolution and Fragment-based Replacements for Protein Structure Prediction

Proceedings of the Companion Publication of the 2015 on Genetic and Evolutionary Computation Conference - GECCO Companion '15
2015 | Conference paper
Part of ISBN: 9781450334884
Contributors: Daniel Varela; José Santos
Source: Self-asserted source
Daniel Varela via Crossref Metadata Search
grade
Preferred source (of 2)‎

Peer review (1 review for 1 publication/grant)

Review activity for Natural computing. (1)