nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization
|
Escorcia-Rodríguez, Juan M. |
|
|
18 |
C |
p. 1228-1237 |
artikel |
2 |
A bird’s-eye view of deep learning in bioimage analysis
|
Meijering, Erik |
|
|
18 |
C |
p. 2312-2325 |
artikel |
3 |
Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptors
|
Ahmed, Sajid |
|
|
18 |
C |
p. 3528-3538 |
artikel |
4 |
ACE2 enhance viral infection or viral infection aggravate the underlying diseases
|
Teng, Shaolei |
|
|
18 |
C |
p. 2100-2106 |
artikel |
5 |
ACE2 partially dictates the host range and tropism of SARS-CoV-2
|
Gao, Shan |
|
|
18 |
C |
p. 4040-4047 |
artikel |
6 |
A comparison of methods accounting for batch effects in differential expression analysis of UMI count based single cell RNA sequencing
|
Chen, Wenan |
|
|
18 |
C |
p. 861-873 |
artikel |
7 |
A computational model for understanding the oligomerization mechanisms of TNF receptor superfamily
|
Su, Zhaoqian |
|
|
18 |
C |
p. 258-270 |
artikel |
8 |
A convenient protein library for spectroscopic calibrations
|
De Meutter, Joëlle |
|
|
18 |
C |
p. 1864-1876 |
artikel |
9 |
A deep learning and similarity-based hierarchical clustering approach for pathological stage prediction of papillary renal cell carcinoma
|
Lee, Sugi |
|
|
18 |
C |
p. 2639-2646 |
artikel |
10 |
Advances in optical mapping for genomic research
|
Yuan, Yuxuan |
|
|
18 |
C |
p. 2051-2062 |
artikel |
11 |
Advances of super-resolution fluorescence polarization microscopy and its applications in life sciences
|
Chen, Long |
|
|
18 |
C |
p. 2209-2216 |
artikel |
12 |
Advances on diagnostic biomarkers of pancreatic ductal adenocarcinoma: A systems biology perspective
|
Zhang, Wu-Hu |
|
|
18 |
C |
p. 3606-3614 |
artikel |
13 |
A functional ecological network based on metaproteomics responses of individual gut microbiomes to resistant starches
|
Li, Leyuan |
|
|
18 |
C |
p. 3833-3842 |
artikel |
14 |
A hallmark of phospholamban functional divergence is located in the N-terminal phosphorylation domain
|
Fernández-de Gortari, Eli |
|
|
18 |
C |
p. 705-713 |
artikel |
15 |
A health metadata-based management approach for comparative analysis of high-throughput genetic sequences for quantifying antimicrobial resistance reduction in Canadian hog barns
|
Chekabab, Samuel M. |
|
|
18 |
C |
p. 2629-2638 |
artikel |
16 |
Allosteric inhibition explained through conformational ensembles sampling distinct “mixed” states
|
Byun, Jung Ah |
|
|
18 |
C |
p. 3803-3818 |
artikel |
17 |
A mathematical model for understanding synergistic regulations and paradoxical feedbacks in the shoot apical meristem
|
Liu, Ziyi |
|
|
18 |
C |
p. 3877-3889 |
artikel |
18 |
A mathematical model to predict nanomedicine pharmacokinetics and tumor delivery
|
Dogra, Prashant |
|
|
18 |
C |
p. 518-531 |
artikel |
19 |
A metagenome-wide association study of gut microbiome and visceral fat accumulation
|
Nie, Xiaomin |
|
|
18 |
C |
p. 2596-2609 |
artikel |
20 |
A molecular device: A DNA molecular lock driven by the nicking enzymes
|
Zhang, Xiaokang |
|
|
18 |
C |
p. 2107-2116 |
artikel |
21 |
A mutation can hide another one: Think Structural Variants!
|
Miressi, Federica |
|
|
18 |
C |
p. 2095-2099 |
artikel |
22 |
Analysis of the expression, function, prognosis and co-expression genes of DDX20 in gastric cancer
|
Wang, Qingshui |
|
|
18 |
C |
p. 2453-2462 |
artikel |
23 |
A NanoFE simulation-based surrogate machine learning model to predict mechanical functionality of protein networks from live confocal imaging
|
Asgharzadeh, Pouyan |
|
|
18 |
C |
p. 2774-2788 |
artikel |
24 |
Anaplasma pathogen infection alters chemical composition of the exoskeleton of hard ticks (Acari: Ixodidae)
|
de la Fuente, José |
|
|
18 |
C |
p. 253-257 |
artikel |
25 |
An automatic representation of peptides for effective antimicrobial activity classification
|
Beltran, Jesus A. |
|
|
18 |
C |
p. 455-463 |
artikel |
26 |
Ancestral zinc-finger bearing protein MucR in alpha-proteobacteria: A novel xenogeneic silencer?
|
Jiao, Jian |
|
|
18 |
C |
p. 3623-3631 |
artikel |
27 |
An immersive journey to the molecular structure of SARS-CoV-2: Virtual reality in COVID-19
|
Calvelo, Martín |
|
|
18 |
C |
p. 2621-2628 |
artikel |
28 |
An information gain-based approach for evaluating protein structure models
|
Postic, Guillaume |
|
|
18 |
C |
p. 2228-2236 |
artikel |
29 |
An integrative deep learning framework for classifying molecular subtypes of breast cancer
|
Mohaiminul Islam, Md. |
|
|
18 |
C |
p. 2185-2199 |
artikel |
30 |
An integrative multi-omics network-based approach identifies key regulators for breast cancer
|
Chen, Yi-Xiao |
|
|
18 |
C |
p. 2826-2835 |
artikel |
31 |
A novel numerical representation for proteins: Three-dimensional Chaos Game Representation and its Extended Natural Vector
|
Sun, Zeju |
|
|
18 |
C |
p. 1904-1913 |
artikel |
32 |
A novel strategy for molecular interfaces optimization: The case of Ferritin-Transferrin receptor interaction
|
Di Rienzo, Lorenzo |
|
|
18 |
C |
p. 2678-2686 |
artikel |
33 |
Application of information theoretical approaches to assess diversity and similarity in single-cell transcriptomics
|
Seweryn, Michal T. |
|
|
18 |
C |
p. 1830-1837 |
artikel |
34 |
Applications of water molecules for analysis of macromolecule properties
|
Mitusińska, Karolina |
|
|
18 |
C |
p. 355-365 |
artikel |
35 |
A promising iPS-based single-cell cloning strategy revealing signatures of somatic mutations in heterogeneous normal cells
|
Miao, Xuexia |
|
|
18 |
C |
p. 2326-2335 |
artikel |
36 |
A protocol to automatically calculate homo-oligomeric protein structures through the integration of evolutionary constraints and NMR ambiguous contacts
|
Sala, Davide |
|
|
18 |
C |
p. 114-124 |
artikel |
37 |
Archaea, tiny helpers of land plants
|
Jung, Jihye |
|
|
18 |
C |
p. 2494-2500 |
artikel |
38 |
A recent origin of Orf3a from M protein across the coronavirus lineage arising by sharp divergence
|
Ouzounis, Christos A. |
|
|
18 |
C |
p. 4093-4102 |
artikel |
39 |
A review of protein–protein interaction network alignment: From pathway comparison to global alignment
|
Ma, Cheng-Yu |
|
|
18 |
C |
p. 2647-2656 |
artikel |
40 |
A rewiring model of intratumoral interaction networks
|
Sang, Mengmeng |
|
|
18 |
C |
p. 45-51 |
artikel |
41 |
Artificial intelligence (AI) and big data in cancer and precision oncology
|
Dlamini, Zodwa |
|
|
18 |
C |
p. 2300-2311 |
artikel |
42 |
Artificial intelligence in tongue diagnosis: Using deep convolutional neural network for recognizing unhealthy tongue with tooth-mark
|
Wang, Xu |
|
|
18 |
C |
p. 973-980 |
artikel |
43 |
Assessment of vector-host-pathogen relationships using data mining and machine learning
|
Agany, Diing D.M. |
|
|
18 |
C |
p. 1704-1721 |
artikel |
44 |
A stoichiometric and pseudo kinetic model of loop mediated isothermal amplification
|
Kaur, Navjot |
|
|
18 |
C |
p. 2336-2346 |
artikel |
45 |
A systematic strategy for the investigation of vaccines and drugs targeting bacteria
|
Yan, Fangfang |
|
|
18 |
C |
p. 1525-1538 |
artikel |
46 |
ATP7A Clinical Genetics Resource – A comprehensive clinically annotated database and resource for genetic variants in ATP7A gene
|
Mhaske, Aditi |
|
|
18 |
C |
p. 2347-2356 |
artikel |
47 |
AUDACITY: A comprehensive approach for the detection and classification of Runs of Homozygosity in medical and population genomics
|
Magi, Alberto |
|
|
18 |
C |
p. 1956-1967 |
artikel |
48 |
autoRPA: A web server for constructing cancer staging models by recursive partitioning analysis
|
Xie, Yubin |
|
|
18 |
C |
p. 3361-3367 |
artikel |
49 |
Benchmarking algorithms for pathway activity transformation of single-cell RNA-seq data
|
Zhang, Yaru |
|
|
18 |
C |
p. 2953-2961 |
artikel |
50 |
Bioinformatics and computational approaches for analyzing patient-derived disease models in cancer research
|
Gendoo, Deena M.A. |
|
|
18 |
C |
p. 375-380 |
artikel |
51 |
Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics
|
Liu, Lian |
|
|
18 |
C |
p. 1587-1604 |
artikel |
52 |
Biomarker discovery for predicting spontaneous preterm birth from gene expression data by regularized logistic regression
|
Li, Lingyu |
|
|
18 |
C |
p. 3434-3446 |
artikel |
53 |
BnaSNPDB: An interactive web portal for the efficient retrieval and analysis of SNPs among 1,007 rapeseed accessions
|
Yan, Tao |
|
|
18 |
C |
p. 2766-2773 |
artikel |
54 |
Boolean model of anchorage dependence and contact inhibition points to coordinated inhibition but semi-independent induction of proliferation and migration
|
Guberman, Eric |
|
|
18 |
C |
p. 2145-2165 |
artikel |
55 |
Both intra and inter-domain interactions define the intrinsic dynamics and allosteric mechanism in DNMT1s
|
Liang, Zhongjie |
|
|
18 |
C |
p. 749-764 |
artikel |
56 |
Ca2+-based allosteric switches and shape shifting in RGLG1 VWA domain
|
Wang, Qin |
|
|
18 |
C |
p. 821-833 |
artikel |
57 |
Caretta – A multiple protein structure alignment and feature extraction suite
|
Akdel, Mehmet |
|
|
18 |
C |
p. 981-992 |
artikel |
58 |
Catestatin improves insulin sensitivity by attenuating endoplasmic reticulum stress: In vivo and in silico validation
|
Dasgupta, Abhijit |
|
|
18 |
C |
p. 464-481 |
artikel |
59 |
Causal inference for the effect of environmental chemicals on chronic kidney disease
|
Zhao, Jing |
|
|
18 |
C |
p. 93-99 |
artikel |
60 |
Cellular, transcriptomic and isoform heterogeneity of breast cancer cell line revealed by full-length single-cell RNA sequencing
|
Wu, Shaocheng |
|
|
18 |
C |
p. 676-685 |
artikel |
61 |
CGD: Comprehensive guide designer for CRISPR-Cas systems
|
Menon, A Vipin |
|
|
18 |
C |
p. 814-820 |
artikel |
62 |
Challenges and approaches in assessing the interplay between microorganisms and their physical micro-environments
|
Harvey, Harry J. |
|
|
18 |
C |
p. 2860-2866 |
artikel |
63 |
Challenges in detecting and quantifying intron retention from next generation sequencing data
|
Broseus, Lucile |
|
|
18 |
C |
p. 501-508 |
artikel |
64 |
Challenges in identifying large germline structural variants for clinical use by long read sequencing
|
Jenko Bizjan, Barbara |
|
|
18 |
C |
p. 83-92 |
artikel |
65 |
Chemoreceptors with C-terminal pentapeptides for CheR and CheB binding are abundant in bacteria that maintain host interactions
|
Ortega, Álvaro |
|
|
18 |
C |
p. 1947-1955 |
artikel |
66 |
Chinese herbal compounds against SARS-CoV-2: Puerarin and quercetin impair the binding of viral S-protein to ACE2 receptor
|
Pan, Boyu |
|
|
18 |
C |
p. 3518-3527 |
artikel |
67 |
CirRNAPL: A web server for the identification of circRNA based on extreme learning machine
|
Niu, Mengting |
|
|
18 |
C |
p. 834-842 |
artikel |
68 |
C-Jun N-terminal kinase inhibitors: Structural insight into kinase-inhibitor complexes
|
Duong, Men Thi Hoai |
|
|
18 |
C |
p. 1440-1457 |
artikel |
69 |
Classification of VUS and unclassified variants in BRCA1 BRCT repeats by molecular dynamics simulation
|
Sinha, Siddharth |
|
|
18 |
C |
p. 723-736 |
artikel |
70 |
Classifying shoulder implants in X-ray images using deep learning
|
Urban, Gregor |
|
|
18 |
C |
p. 967-972 |
artikel |
71 |
Coarse-grained (hybrid) integrative modeling of biomolecular interactions
|
Roel-Touris, Jorge |
|
|
18 |
C |
p. 1182-1190 |
artikel |
72 |
Coevolutionary data-based interaction networks approach highlighting key residues across protein families: The case of the G-protein coupled receptors
|
Baldessari, Filippo |
|
|
18 |
C |
p. 1153-1159 |
artikel |
73 |
Combinatorial virtual library screening analysis of antithrombin binding oligosaccharide motif generation by heparan sulfate 3-O-Sulfotransferase 1
|
Sankaranarayanan, Nehru Viji |
|
|
18 |
C |
p. 933-941 |
artikel |
74 |
Combining data integration and molecular dynamics for target identification in α-Synuclein-aggregating neurodegenerative diseases: Structural insights on Synaptojanin-1 (Synj1)
|
Jenkins, Kirsten |
|
|
18 |
C |
p. 1032-1042 |
artikel |
75 |
Combining Ramachandran plot and molecular dynamics simulation for structural-based variant classification: Using TP53 variants as model
|
Tam, Benjamin |
|
|
18 |
C |
p. 4033-4039 |
artikel |
76 |
Combining structure and genomics to understand antimicrobial resistance
|
Tunstall, Tanushree |
|
|
18 |
C |
p. 3377-3394 |
artikel |
77 |
Comparative effects of oncogenic mutations G12C, G12V, G13D, and Q61H on local conformations and dynamics of K-Ras
|
Vatansever, Sezen |
|
|
18 |
C |
p. 1000-1011 |
artikel |
78 |
Comparative transcriptome analysis unveils the adaptative mechanisms of Scedosporium apiospermum to the microenvironment encountered in the lungs of patients with cystic fibrosis
|
Vandeputte, Patrick |
|
|
18 |
C |
p. 3468-3483 |
artikel |
79 |
Comparison of MultiLocus Sequence Typing (MLST) and Microsatellite Length Polymorphism (MLP) for Pneumocystis jirovecii genotyping
|
Gits-Muselli, Maud |
|
|
18 |
C |
p. 2890-2896 |
artikel |
80 |
Comparison of unsupervised machine-learning methods to identify metabolomic signatures in patients with localized breast cancer
|
Gal, Jocelyn |
|
|
18 |
C |
p. 1509-1524 |
artikel |
81 |
Computational advances of tumor marker selection and sample classification in cancer proteomics
|
Tang, Jing |
|
|
18 |
C |
p. 2012-2025 |
artikel |
82 |
Computational approaches for effective CRISPR guide RNA design and evaluation
|
Liu, Guanqing |
|
|
18 |
C |
p. 35-44 |
artikel |
83 |
Computational approaches in viral ecology
|
Khot, Varada |
|
|
18 |
C |
p. 1605-1612 |
artikel |
84 |
Computational biophysical characterization of the SARS-CoV-2 spike protein binding with the ACE2 receptor and implications for infectivity
|
Chowdhury, Ratul |
|
|
18 |
C |
p. 2573-2582 |
artikel |
85 |
Computational evolution of an RNA-binding protein towards enhanced oxidized-RNA binding
|
Gonzalez-Rivera, Juan C. |
|
|
18 |
C |
p. 137-152 |
artikel |
86 |
Computational identification of N6-methyladenosine sites in multiple tissues of mammals
|
Dao, Fu-Ying |
|
|
18 |
C |
p. 1084-1091 |
artikel |
87 |
Computational insights into O-glycosylation in a CTLA4 Fc-fusion protein linker and its impact on protein quality attributes
|
Song, Yuanli |
|
|
18 |
C |
p. 3925-3935 |
artikel |
88 |
Computational methods for detecting cancer hotspots
|
Martinez-Ledesma, Emmanuel |
|
|
18 |
C |
p. 3567-3576 |
artikel |
89 |
Computational methods for 16S metabarcoding studies using Nanopore sequencing data
|
Santos, Andres |
|
|
18 |
C |
p. 296-305 |
artikel |
90 |
Computational methods in mass spectrometry-based structural proteomics for studying protein structure, dynamics, and interactions
|
Na, Seungjin |
|
|
18 |
C |
p. 1391-1402 |
artikel |
91 |
Computational prediction of protein aggregation: Advances in proteomics, conformation-specific algorithms and biotechnological applications
|
Santos, Jaime |
|
|
18 |
C |
p. 1403-1413 |
artikel |
92 |
Computational reconstruction of atomistic protein structures from coarse-grained models
|
Badaczewska-Dawid, Aleksandra E. |
|
|
18 |
C |
p. 162-176 |
artikel |
93 |
Computational saturation mutagenesis to predict structural consequences of systematic mutations in the beta subunit of RNA polymerase in Mycobacterium leprae
|
Vedithi, Sundeep Chaitanya |
|
|
18 |
C |
p. 271-286 |
artikel |
94 |
Concepts in Boolean network modeling: What do they all mean?
|
Schwab, Julian D. |
|
|
18 |
C |
p. 571-582 |
artikel |
95 |
Conformational ensembles of non-peptide ω-conotoxin mimetics and Ca+2 ion binding to human voltage-gated N-type calcium channel Cav2.2
|
Sameera, |
|
|
18 |
C |
p. 2357-2372 |
artikel |
96 |
Constructing knowledge graphs and their biomedical applications
|
Nicholson, David N. |
|
|
18 |
C |
p. 1414-1428 |
artikel |
97 |
Co-occurrence patterns of bacteria within microbiome of Moscow subway
|
Klimenko, Natalia S. |
|
|
18 |
C |
p. 314-322 |
artikel |
98 |
Corrigendum to “Triazolo[4,5-d]pyrimidines as validated general control nonderepressible 2 (GCN2) protein kinase inhibitors reduce growth of leukemia cells” [Comput. Struct. Biotechnol. J. 16 (2018) 350–360]
|
Lough, Lea |
|
|
18 |
C |
p. 1092 |
artikel |
99 |
COSMO: A dynamic programming algorithm for multicriteria codon optimization
|
Taneda, Akito |
|
|
18 |
C |
p. 1811-1818 |
artikel |
100 |
CRISPR-Cas systems: Overview, innovations and applications in human disease research and gene therapy
|
Xu, Yuanyuan |
|
|
18 |
C |
p. 2401-2415 |
artikel |
101 |
CRISPR-sub: Analysis of DNA substitution mutations caused by CRISPR-Cas9 in human cells
|
Hwang, Gue-Ho |
|
|
18 |
C |
p. 1686-1694 |
artikel |
102 |
C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks
|
Zhang, Guishan |
|
|
18 |
C |
p. 344-354 |
artikel |
103 |
Cross-talk between Hippo and Wnt signalling pathways in intestinal crypts: Insights from an agent-based model
|
Ward, Daniel |
|
|
18 |
C |
p. 230-240 |
artikel |
104 |
Crystal structure of the C-terminal domain of DENR
|
Lomakin, Ivan B. |
|
|
18 |
C |
p. 696-704 |
artikel |
105 |
Data mining in Raman imaging in a cellular biological system
|
Liu, Ya-Juan |
|
|
18 |
C |
p. 2920-2930 |
artikel |
106 |
Deciphering rice metabolic flux reprograming under salinity stress via in silico metabolic modeling
|
Wanichthanarak, Kwanjeera |
|
|
18 |
C |
p. 3555-3566 |
artikel |
107 |
Deep graph embedding for prioritizing synergistic anticancer drug combinations
|
Jiang, Peiran |
|
|
18 |
C |
p. 427-438 |
artikel |
108 |
Deep learning methods in protein structure prediction
|
Torrisi, Mirko |
|
|
18 |
C |
p. 1301-1310 |
artikel |
109 |
Deep learning models in genomics; are we there yet?
|
Koumakis, Lefteris |
|
|
18 |
C |
p. 1466-1473 |
artikel |
110 |
Deep learning predicts microbial interactions from self-organized spatiotemporal patterns
|
Lee, Joon-Yong |
|
|
18 |
C |
p. 1259-1269 |
artikel |
111 |
Deep metabolome: Applications of deep learning in metabolomics
|
Pomyen, Yotsawat |
|
|
18 |
C |
p. 2818-2825 |
artikel |
112 |
DeepScratch: Single-cell based topological metrics of scratch wound assays
|
Javer, Avelino |
|
|
18 |
C |
p. 2501-2509 |
artikel |
113 |
De novo post-SELEX optimization of a G-quadruplex DNA aptamer binding to marine toxin gonyautoxin 1/4
|
Song, Menghua |
|
|
18 |
C |
p. 3425-3433 |
artikel |
114 |
Deregulated bone morphogenetic proteins and their receptors are associated with disease progression of gastric cancer
|
Sun, Zhiwei |
|
|
18 |
C |
p. 177-188 |
artikel |
115 |
Derivation of a nuclear heterogeneity image index to grade DCIS
|
Hayward, Mary-Kate |
|
|
18 |
C |
p. 4063-4070 |
artikel |
116 |
Desaturase specificity is controlled by the physicochemical properties of a single amino acid residue in the substrate binding tunnel
|
Buček, Aleš |
|
|
18 |
C |
p. 1202-1209 |
artikel |
117 |
Designing custom CRISPR libraries for hypothesis-driven drug target discovery
|
Iyer, Vaishnavi Srinivasan |
|
|
18 |
C |
p. 2237-2246 |
artikel |
118 |
Determining the unbinding events and conserved motions associated with the pyrazinamide release due to resistance mutations of Mycobacterium tuberculosis pyrazinamidase
|
Sheik Amamuddy, Olivier |
|
|
18 |
C |
p. 1103-1120 |
artikel |
119 |
Development and applications of artificial symmetrical proteins
|
Vrancken, Jeroen P.M. |
|
|
18 |
C |
p. 3959-3968 |
artikel |
120 |
Development and validation of metabolism-related gene signature in prognostic prediction of gastric cancer
|
Luo, Tianqi |
|
|
18 |
C |
p. 3217-3229 |
artikel |
121 |
Directed evolution approach to enhance efficiency and speed of outgrowth during single cell subcloning of Chinese Hamster Ovary cells
|
Weinguny, Marcus |
|
|
18 |
C |
p. 1320-1329 |
artikel |
122 |
Directed evolution of the aryl-alcohol oxidase: Beyond the lab bench
|
Viña-Gonzalez, Javier |
|
|
18 |
C |
p. 1800-1810 |
artikel |
123 |
Discovery of alternative polyadenylation dynamics from single cell types
|
Ye, Congting |
|
|
18 |
C |
p. 1012-1019 |
artikel |
124 |
Disease modeling and stem cell immunoengineering in regenerative medicine using CRISPR/Cas9 systems
|
Antao, Ainsley Mike |
|
|
18 |
C |
p. 3649-3665 |
artikel |
125 |
Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics framework
|
Martin, Patrick C.N. |
|
|
18 |
C |
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