| 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
|
|
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18 |
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