Bioinformatics Research and Applications - Lecture Notes in Computer Science
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Published By Springer International Publishing

9783030578206, 9783030578213
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Atom Tracking Using Cayley Graphs

2020 ◽  
pp. 406-415 ◽  
Author(s):  
Marc Hellmuth ◽  
Daniel Merkle ◽  
Nikolai Nøjgaard
Keyword(s):  
Cayley Graphs

HiChew: a Tool for TAD Clustering in Embryogenesis

2020 ◽  
pp. 381-388
Author(s):  
Nikolai S. Bykov ◽  
Olga M. Sigalova ◽  
Mikhail S. Gelfand ◽  
Aleksandra A. Galitsyna

Na/K-ATPase Glutathionylation: in silico Modeling of Reaction Mechanisms

2020 ◽  
pp. 372-380
Author(s):  
Yaroslav V. Solovev ◽  
Daria S. Ostroverkhova ◽  
Gaik Tamazian ◽  
Anton V. Domnin ◽  
Anastasya A. Anashkina ◽  
...  
Keyword(s):  
Reaction Mechanisms ◽  
In Silico ◽  
In Silico Modeling

Estimating Enzyme Participation in Metabolic Pathways for Microbial Communities from RNA-seq Data

2020 ◽  
pp. 335-343
Author(s):  
F. Rondel ◽  
R. Hosseini ◽  
B. Sahoo ◽  
S. Knyazev ◽  
I. Mandric ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Metabolic Pathways ◽  
Rna Seq

Deep Learning Approach with Rotate-Shift Invariant Input to Predict Protein Homodimer Structure

2020 ◽  
pp. 296-303
Author(s):  
Anna Hadarovich ◽  
Alexander Kalinouski ◽  
Alexander V. Tuzikov
Keyword(s):  
Deep Learning ◽  
Learning Approach

Enhanced Functional Pathway Annotations for Differentially Expressed Gene Clusters

2020 ◽  
pp. 352-363
Author(s):  
Chun-Cheng Liu ◽  
Tao-Chuan Shih ◽  
Tun-Wen Pai ◽  
Chin-Hwa Hu ◽  
Lee-Jyi Wang
Keyword(s):  
Differentially Expressed Gene ◽  
Gene Clusters ◽  
Differentially Expressed ◽  
Functional Pathway

Development of a Neural Network-Based Approach for Prediction of Potential HIV-1 Entry Inhibitors Using Deep Learning and Molecular Modeling Methods

2020 ◽  
pp. 304-311
Author(s):  
Grigory I. Nikolaev ◽  
Nikita A. Shuldov ◽  
Arseny I. Anischenko ◽  
Alexander V. Tuzikov ◽  
Alexander M. Andrianov
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Molecular Modeling ◽  
Entry Inhibitors ◽  
Modeling Methods ◽  
Hiv 1
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