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- research-articleAugust 2018
ACM Notice of Article Removal: Deep Learning Based Medical Diagnosis System Using Multiple Data Sources - originally published in the ACM Digital Library on 29-Aug-2018
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 699–706https://doi.org/10.1145/3233547.3233730Recently, many researchers have conducted data mining over medical data to uncover hidden patterns and use them to learn prediction models for clinical decision making and personalized medicine. While such healthcare learning models can achieve ...
- research-articleAugust 2018
A Voice-Aware System for Vocal Wellness
- Giuseppe Tradigo,
- Patrizia Vizza,
- Pasquale Lambardi,
- Pietro Hiram Guzzi,
- Aldo Quattrone,
- Pierangelo Veltri
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 693–698https://doi.org/10.1145/3233547.3233729Phonemic alterations can indicate possible pathologies with poten- tially serious repercussions both from a psychological than a social point of view. Nowadays, the level of population awareness about this issues is rather low and mild dysfunctions are ...
- abstractAugust 2018
Aligning Dynamic Networks with DynaWAVE
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPage 569https://doi.org/10.1145/3233547.3233721Network alignment (NA) aims to find similar (conserved) regions between networks. Until recently, existing methods were limited to aligning static networks. However, real-world systems, including biological ones, are dynamic. Hence, we had introduced ...
- abstractAugust 2018
CrossPlan: Systematic Planning of Genetic Crosses to Validate Mathematical Models
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPage 567https://doi.org/10.1145/3233547.3233718Mathematical models of cellular processes can systematically predict the phenotypes of novel combinations of multi-gene mutations. Searching for informative predictions and prioritizing them for experimental validation is challenging since the number of ...
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- abstractAugust 2018
Choosing Non-redundant Representative Subsets Of Protein Sequence Data Sets Using Submodular Optimization
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPage 566https://doi.org/10.1145/3233547.3233717Selecting a non-redundant representative subset of sequences is a common step in many bioinformatics workflows, such as the creation of non-redundant training sets for sequence and structural models or selection of "operational taxonomic units" from ...
- abstractAugust 2018
DeepSF: Deep Convolutional Neural Network for Mapping Protein Sequences to Folds
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPage 565https://doi.org/10.1145/3233547.3233716Predicting the fold of a protein from its sequence is a challenging and important problem in bioinformatics. In this work, we developed the first deep learning method that can directly classify any protein sequence of arbitrary length into 1,195 known ...
- research-articleAugust 2018
Low Rank Smoothed Sampling Methods for Identifying Impactful Pairwise Mutations
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 681–686https://doi.org/10.1145/3233547.3233714Even a single amino acid substitution in a protein can be the cause of a debilitating disease. Experimentally studying the effects of all possible multiple mutations in a protein is infeasible since it requires a combinatorial number of mutants to be ...
- research-articleAugust 2018
Dimensionality Estimation of Protein Dynamics Using Polymer Models
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 675–680https://doi.org/10.1145/3233547.3233713Molecular dynamics (MD) simulation is a powerful technique for sampling the conformational landscape of natively folded proteins (NFPs) and structurally dynamic intrinsically disordered proteins (IDPs). NFPs and IDPs can be viewed as nonlinear dynamical ...
- research-articleAugust 2018
Deep Learning for Resolution Validation of Three Dimensional Cryo-Electron Microscopy Density Maps
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 669–674https://doi.org/10.1145/3233547.3233712Cryo-electron microscopy (cryo-EM) is becoming the imaging method of choice for determining protein structures. Many atomic structures have been resolved based on an exponentially growing number of published three-dimensional (3D) high resolution cryo-...
- research-articleAugust 2018
Sub-Class Differences of PH-Dependent HIV GP120-CD4 Interactions
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 663–668https://doi.org/10.1145/3233547.3233711Research in the field of HIV transmission has yet to provide a vaccine for this imponderable virus. Though progress has been made to extend the life of those chronically infected, a solution to the transmission of the disease remains elusive. Previous ...
- research-articleAugust 2018
MAPS: Analyzing Peptide Binding Subsites in Major Histocompatibility Complexes
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 656–662https://doi.org/10.1145/3233547.3233710The adaptive immune system is a defense system against repeated infection. In order to trigger the immune response, antigen peptides from the infecting agent must first be recognized by the Major Histocompatibility Complex (MHC) proteins. Identifying ...
- research-articleAugust 2018
Using Combined Features to Analyze Atomic Structures derived from Cryo-EM Density Maps
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 651–655https://doi.org/10.1145/3233547.3233709Cryo-electron microscopy (cryo-EM) has become a major technique for protein structure determination. Many atomic structures have been derived from cryo-EM density maps of about 3Å resolution. Side-chain conformations are well determined in density maps ...
- research-articleAugust 2018
Peptide-Binding Site Prediction From Protein Structure via points on the Solvent Accessible Surface
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 645–650https://doi.org/10.1145/3233547.3233708Protein-peptide binding interactions play an important role in cellular regulation and are functionally important in many diseases. If no prior knowledge of the location of a binding site is available, prediction may be needed as a starting point for ...
- research-articleAugust 2018
EMNets: A Convolutional Autoencoder for Protein Surface Retrieval Based on Cryo-Electron Microscopy Imaging
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 639–644https://doi.org/10.1145/3233547.3233707Protein surface shape plays an essential role in various function of proteins. In order to efficiently investigate protein function and evolutionary history, we introduce a global protein surface shape representation called EMNets. EMNets provides an ...
- research-articleAugust 2018
Exploratory Studies Detecting Secondary Structures in Medium Resolution 3D Cryo-EM Images Using Deep Convolutional Neural Networks
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 628–632https://doi.org/10.1145/3233547.3233704Cryo-electron microscopy (cryo-EM) is an emerging biophysical technique for structural determination of protein complexes. However, accurate detection of secondary structures is still challenging when cryo-EM density maps are at medium resolutions (5-10 ...
- research-articleAugust 2018
Community Detection for Decoy Selection in Template-free Protein Structure Prediction
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 621–627https://doi.org/10.1145/3233547.3233703Significant efforts are devoted to resolving biologically-active structures in wet and dry laboratories. In particular, due to hardware and algorithmic innovations, computational methods can now obtain thousands of structures that populate the structure ...
- research-articleAugust 2018
Modeling the Tertiary Structure of a Multi-domain Protein: Structure Prediction of Multi-domain Proteins
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 615–620https://doi.org/10.1145/3233547.3233702Due to the central role that tertiary structure plays in determining protein function, resolving protein tertiary structures is an integral research thrust in both wet and dry laboratories. Dry laboratories have primarily focused on small- to medium-...
- abstractAugust 2018
ACM-BCB 2018 Computational Structural Bioinformatics Workshop (CSBW) Chairs' Welcome
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPages 613–614https://doi.org/10.1145/3233547.3233701The rapid accumulation of protein structures presents a unique set of challenges and opportunities in the analysis, comparison, modeling, and prediction of macromolecular structures and their interactions. This workshop brought together researchers with ...
- abstractAugust 2018
Decoding TDP-43 Dependent Cryptic Splicing in Amyotrophic Lateral Sclerosis and Identifying Novel Disease-causing Genes
BCB '18: Proceedings of the 2018 ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsPage 612https://doi.org/10.1145/3233547.3233698\sectionBackground Amyotrophic lateral sclerosis (ALS), is a neurodegenerative disease that primarily effects motor neurons in both brain and spinal cord \citezarei2015comprehensive. Several independent studies conformed the deposition of TAR DNA-...