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ORCIDPACBB 2018: Toledo, Spain
- Florentino Fdez-Riverola, Mohd Saberi Mohamad, Miguel Rocha, Juan F. De Paz, Pascual González:
Practical Applications of Computational Biology and Bioinformatics, 12th International Conference, PACBB 2018, Toledo, Spain, 20-22 May, 2018. Advances in Intelligent Systems and Computing 803, Springer 2019, ISBN 978-3-319-98701-9 - Mei Kie Hon, Mohd Saberi Mohamad
, Abdul Hakim Mohamed Salleh, Yee Wen Choon, Muhammad Akmal bin Remli, Mohd Arfian Ismail, Sigeru Omatu, Juan Manuel Corchado:
A Hybrid of Simple Constrained Artificial Bee Colony Algorithm and Flux Balance Analysis for Enhancing Lactate and Succinate in Escherichia Coli. 1-8 - Mei Yee Aw, Mohd Saberi Mohamad, Chuii Khim Chong, Safaai Deris, Muhammad Akmal bin Remli, Mohd Arfian Ismail, Juan Manuel Corchado, Sigeru Omatu:
Parameter Estimation of Essential Amino Acids in Arabidopsis thaliana Using Hybrid of Bees Algorithm and Harmony Search. 9-16 - Pedro Pablo González Pérez, Maura Cárdenas-García:
In Silico Modeling and Simulation Approach for Apoptosis Caspase Pathways. 17-26 - Dino Franklin:
Molecular Dynamic Simulations Suggest that P152R Mutation Within MeCP2 Can Lead to Higher DNA Binding Affinity and Loss of Selective Binding to Methylated DNA. 27-34 - Maria Pedroto, Alípio Jorge, João Mendes-Moreira, Teresa Coelho:
Impact of Genealogical Features in Transthyretin Familial Amyloid Polyneuropathy Age of Onset Prediction. 35-42 - Fiorella Cravero, Santiago Schustik, María Jimena Martínez, Carlos D. Barranco, Mónica Fátima Díaz, Ignacio Ponzoni:
Feature Selection and Polydispersity Characterization for QSPR Modelling: Predicting a Tensile Property. 43-51 - Nazar Zaki, Chandana Tennakoon, Hany Al Ashwal, Alanoud Al Jaberi, Amel Al Ameri:
Methods of Creating Knowledge Graph by Linking Biological Databases. 52-62 - Víctor Sebastián-Pérez, María Jimena Martínez, Carmen Gil, Nuria E. Campillo, Ana Martínez, Ignacio Ponzoni:
QSAR Modelling for Drug Discovery: Predicting the Activity of LRRK2 Inhibitors for Parkinson's Disease Using Cheminformatics Approaches. 63-70 - Niclas Ståhl, Göran Falkman, Alexander Karlsson, Gunnar Mathiason, Jonas Boström:
Improving the Use of Deep Convolutional Neural Networks for the Prediction of Molecular Properties. 71-79 - Carlos A. C. Bastos, Vera Afreixo, João M. O. S. Rodrigues, Armando J. Pinho:
An Analysis of Symmetric Words in Human DNA: Adjacent vs Non-adjacent Word Distances. 80-87 - Hugo López-Fernández, Pedro Duque, Sílvia Henriques, Noé Vázquez, Florentino Fdez-Riverola, Cristina P. Vieira, Miguel Reboiro-Jato, Jorge Vieira:
A Bioinformatics Protocol for Quickly Creating Large-Scale Phylogenetic Trees. 88-96 - Haebom Lee, Jun Jo, Yong Oh Lee, Korkmaz Zirpel Nuriye, Leon Abelmann:
Deep Learning Analysis of Binding Behavior of Virus Displayed Peptides to AuNPs. 97-104 - Diogo Pratas, Seyed Morteza Hosseini, Armando J. Pinho:
Compression of Amino Acid Sequences. 105-113 - Manuel Gaspar, Diogo Pratas, Armando J. Pinho:
NET-ASAR: A Tool for DNA Sequence Search Based on Data Compression. 114-122 - Anna Papiez, Marcin Skrzypski, Amelia Szymanowska-Narloch, Ewa Jassem, Agnieszka Maciejewska, Ryszard Pawlowski, Rafal Dziadziuszko, Jacek Jassem, Witold Rzyman, Joanna Polanska:
Can an Integrative SNP Approach Substitute Standard Identification in Comprehensive Case/Control Analyses? 123-130 - Antonino Aparo, Vincenzo Bonnici, Giovanni Micale, Alfredo Ferro, Dennis E. Shasha, Alfredo Pulvirenti, Rosalba Giugno:
Simple Pattern-only Heuristics Lead to Fast Subgraph Matching Strategies on Very Large Networks. 131-138 - Cláudia M. Bauer, Paulo Vilaça, Fernanda Ramlov, Eva Regina de Oliveira, Débora Cabral Nazário, Caroline Schmitz, Rafaela Gordo Corrêa, Miguel Rocha, Marcelo Maraschin:
In Silico Predictions for Fucoxanthin Production by the Diatom Phaeodactylum Tricornutum. 139-148 - Noé Vázquez, Sara Rocha, Hugo López-Fernández, André Torres, Rui Camacho, Florentino Fdez-Riverola, Jorge Vieira, Cristina P. Vieira, Miguel Reboiro-Jato:
EvoPPI: A Web Application to Compare Protein-Protein Interactions (PPIs) from Different Databases and Species. 149-156 - Sara Cardoso, Delora Baptista, Rebeca Santos, Miguel Rocha:
A Review on Metabolomics Data Analysis for Cancer Applications. 157-165 - Bastien Grasnick, Cindy Perscheid, Matthias Uflacker:
A Framework for the Automatic Combination and Evaluation of Gene Selection Methods. 166-174 - Alberto G. Salguero, Manuel I. Capel, Antonio J. Tomeu:
Parallel Cellular Automaton Tumor Growth Model. 175-182 - João Carlos Sequeira, Miguel Rocha, Maria Madalena Alves, Andreia Ferreira Salvador:
MOSCA: An Automated Pipeline for Integrated Metagenomics and Metatranscriptomics Data Analysis. 183-191 - Vítor Vieira, Jorge Ferreira, Rúben Rodrigues, Miguel Rocha:
Metabolite Integration Pipeline for the Improvement of Human Metabolic Models. 192-199 - José A. Castellanos-Garzón, Juan Ramos, Yeray Mezquita Martín, Juan F. De Paz, Ernesto Costa:
A Genetic Programming Approach Applied to Feature Selection from Medical Data. 200-207 - Diogo Pratas, Armando J. Pinho:
A DNA Sequence Corpus for Compression Benchmark. 208-215 - Débora Cabral Nazário, Sara Cardoso, Silvana Rocco, Maurício Sforça, Simone Fanan Hengeltraub, Cláudia M. Bauer, Miguel Rocha, Marcelo Maraschin:
17α-Ethinylestradiol Analysis of Endo- and Exometabolome of Ulva lactuca (Chlorophyta) by 1H-NMR Spectroscopy and Bioinformatics Tools. 216-223
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