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                             148 gevonden resultaten
nr titel auteur tijdschrift jaar jaarg. afl. pagina('s) type
1 A Comparative Molecular Similarity Index Analysis (CoMSIA) study identifies an HLA-A2 binding supermotif Irini A. Doytchinova
2002
8 p. 535-544
10 p.
artikel
2 A comparison of the pharmacophore identification programs: Catalyst, DISCO and GASP Yogendra Patel
2002
8 p. 653-681
29 p.
artikel
3 A computational analysis of the binding model of MDM2 with inhibitors Hu, Guodong
2010
8 p. 687-697
artikel
4 Active site similarity between human and Plasmodium falciparum phosphodiesterases: considerations for antimalarial drug design Howard, Brittany L.
2011
8 p. 753-762
artikel
5 A grand vision for configurable science and minimizing the loss model Warr, Wendy A.
2008
8 p. 587-591
artikel
6 Allosteric antagonist binding sites in class B GPCRs: corticotropin receptor 1 Bhattacharya, Supriyo
2010
8 p. 659-674
artikel
7 Analysis of stacking overlap in nucleic acid structures: algorithm and application Pingali, Pavan Kumar
2014
8 p. 851-867
artikel
8 A new topological index to elucidate apolar hydrocarbons Francisco Torrens
2001
8 p. 709-719
11 p.
artikel
9 A pharmacophore model for dopamine D4 receptor antagonists Jonas Boström
2000
8 p. 769-786
18 p.
artikel
10 Application of a simple quantum chemical approach to ligand fragment scoring for Trypanosoma brucei pteridine reductase 1 inhibition Jedwabny, Wiktoria
2017
8 p. 715-728
artikel
11 A QM/MM study of the binding of RAPTA ligands to cathepsin B Ciancetta, Antonella
2011
8 p. 729-742
artikel
12 ART–RRT: As-Rigid-As-Possible search for protein conformational transition paths Nguyen, Minh Khoa
2019
8 p. 705-727
artikel
13 A theoretical study of cis–trans isomerisation in H-ZSM5: probing the impact of cluster size and zeolite framework on energetics and structure Gleeson, Duangkamol
2008
8 p. 579-585
artikel
14 Automated computational screening of the thiol reactivity of substituted alkenes Smith, Jennifer M.
2015
8 p. 725-735
artikel
15 Automated docking of ligands to an artificial active site: augmenting crystallographic analysis with computer modeling Robin J. Rosenfeld
2003
8 p. 525-536
12 p.
artikel
16 Automated molecule editing in molecular design Kenny, Peter W.
2013
8 p. 655-664
artikel
17 Azahar: a PyMOL plugin for construction, visualization and analysis of glycan molecules Arroyuelo, Agustina
2016
8 p. 619-624
artikel
18 Benzimidazole derivatives. 4. The recognition of the voluminous substituent attached to the basic amino group of 5-HT4 receptor antagonists María L. López-Rodríguez
2003
8 p. 515-524
10 p.
artikel
19 Binding affinity prediction for binary drug–target interactions using semi-supervised transfer learning Tanoori, Betsabeh

8 p. 883-900
artikel
20 Binding mode prediction and MD/MMPBSA-based free energy ranking for agonists of REV-ERBα/NCoR Westermaier, Yvonne
2017
8 p. 755-775
artikel
21 Bond-based linear indices in QSAR: computational discovery of novel anti-trichomonal compounds Marrero-Ponce, Yovani
2008
8 p. 523-540
artikel
22 Box size effects are negligible for solvation free energies of neutral solutes Parameswaran, Sreeja
2014
8 p. 825-829
artikel
23 Challenges of fragment screening Joseph-McCarthy, Diane
2009
8 p. 449-451
artikel
24 Challenging the gold standard for 3D-QSAR: template CoMFA versus X-ray alignment Wendt, Bernd
2014
8 p. 803-824
artikel
25 Characterization of PD-L1 binding sites by a combined FMO/GRID-DRY approach Paciotti, Roberto

8 p. 897-914
artikel
26 Chemical space networks: a powerful new paradigm for the description of chemical space Maggiora, Gerald M.
2014
8 p. 795-802
artikel
27 Combining conformational sampling and selection to identify the binding mode of zinc-bound amyloid peptides with bifunctional molecules Xu, Liang
2012
8 p. 963-976
artikel
28 Combining fragment homology modeling with molecular dynamics aims at prediction of Ca2+ binding sites in CaBPs Pang, ChunLi
2013
8 p. 697-705
artikel
29 Comprehensive model of wild-type and mutant HIV-1 reverse transciptases Ballante, Flavio
2012
8 p. 907-919
artikel
30 Computational design of d-peptide inhibitors of hepatitis delta antigen dimerization Carl D. Elkin
2000
8 p. 705-718
14 p.
artikel
31 Computational fragment-based drug design to explore the hydrophobic sub-pocket of the mitotic kinesin Eg5 allosteric binding site Oguievetskaia, Ksenia
2009
8 p. 571-582
artikel
32 Computational insights into the molecular mechanisms of differentiated allosteric modulation at the mu opioid receptor by structurally similar bitopic modulators Wang, Huiqun

8 p. 879-895
artikel
33 Computational prediction of ion permeation characteristics in the glycine receptor modified by photo-sensitive compounds Cheng, Mary Hongying
2008
8 p. 563-570
artikel
34 Computer-assisted study on the reaction between pyruvate and ylide in the pathway leading to lactyl–ThDP Alvarado, Omar
2012
8 p. 977-982
artikel
35 Conformational analysis of kainate in aqueous solution in relation to its binding to AMPA and kainic acid receptors Peter Aadal Nielsen
2001
8 p. 753-763
11 p.
artikel
36 Conformational ensemble comparison for small molecules in drug discovery Habgood, Matthew
2018
8 p. 841-852
artikel
37 Construction of a full three-dimensional model of the transpeptidase domain of Streptococcus pneumoniae PBP2x starting from its C-atom coordinates Paul A.M. van Hooft
2000
8 p. 719-730
12 p.
artikel
38 Construction of 3D models of the CYP11B family as a tool to predict ligand binding characteristics Roumen, Luc
2007
8 p. 455-471
artikel
39 COSMO-RS blind prediction of distribution coefficients and aqueous pKa values from the SAMPL8 challenge Diedenhofen, Michael

8 p. 395-405
artikel
40 Covalent docking in CDOCKER Wu, Yujin

8 p. 563-574
artikel
41 Crystal structure of an antiviral ankyrin targeting the HIV-1 capsid and molecular modeling of the ankyrin-capsid complex Praditwongwan, Warachai
2014
8 p. 869-884
artikel
42 Cyclodextrin knowledgebase a web-based service managing CD-ligand complexation data Hazai, Eszter
2010
8 p. 713-717
artikel
43 Deciphering common failures in molecular docking of ligand-protein complexes Gennady M. Verkhivker
2000
8 p. 731-751
21 p.
artikel
44 Demystifying the pH dependent conformational changes of human heparanase pertaining to structure–function relationships: an in silico approach Nagarajan, Hemavathy
2018
8 p. 821-840
artikel
45 Dependency of ligand free energy landscapes on charge parameters and solvent models Okamoto, Yuko
2010
8 p. 699-712
artikel
46 Design of a colicin E7 based chimeric zinc-finger nuclease Németh, Eszter
2014
8 p. 841-850
artikel
47 Design of compound libraries for fragment screening Blomberg, Niklas
2009
8 p. 513-525
artikel
48 Des3PI: a fragment-based approach to design cyclic peptides targeting protein–protein interactions Delaunay, Maxence

8 p. 605-621
artikel
49 Detection of ligand binding hot spots on protein surfaces via fragment-based methods: application to DJ-1 and glucocerebrosidase Landon, Melissa R.
2009
8 p. 491-500
artikel
50 Detection of tautomer proportions of dimedone in solution: a new approach based on theoretical and FT-IR viewpoint Karabulut, Sedat
2013
8 p. 681-688
artikel
51 Development and NMR validation of minimal pharmacophore hypotheses for the generation of fragment libraries enriched in heparanase inhibitors Gozalbes, Rafael
2009
8 p. 555-569
artikel
52 Development of a unique 3D interaction model of endogenous and synthetic peripheral benzodiazepine receptor ligands Nunzia Cinone
2000
8 p. 753-768
16 p.
artikel
53 Discover binding pathways using the sliding binding-box docking approach: application to binding pathways of oseltamivir to avian influenza H5N1 neuraminidase Tran, Diem-Trang T.
2013
8 p. 689-695
artikel
54 Discovery of DNA dyes Hoechst 34580 and 33342 as good candidates for inhibiting amyloid beta formation: in silico and in vitro study Thai, Nguyen Quoc
2016
8 p. 639-650
artikel
55 3D-QSAR and docking studies on 4-anilinoquinazoline and 4-anilinoquinoline epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors Haregewein Assefa
2003
8 p. 475-493
19 p.
artikel
56 Druggable hot spots in trypanothione reductase: novel insights and opportunities for drug discovery revealed by DRUGpy Teixeira, Olivia

8 p. 871-882
artikel
57 Dynamic clustering threshold reduces conformer ensemble size while maintaining a biologically relevant ensemble Yongye, Austin B.
2010
8 p. 675-686
artikel
58 Energetic analysis of fragment docking and application to structure-based pharmacophore hypothesis generation Loving, Kathryn
2009
8 p. 541-554
artikel
59 Energy–entropy method using multiscale cell correlation to calculate binding free energies in the SAMPL8 host–guest challenge Ali, Hafiz Saqib

8 p. 911-921
artikel
60 ENPDA: an evolutionary structure-based de novo peptide design algorithm Belda, Ignasi
2005
8 p. 585-601
artikel
61 Erratum to: Lessons learned from comparing molecular dynamics engines on the SAMPL5 dataset Shirts, Michael R.
2017
8 p. 777
artikel
62 Estimation of the size of drug-like chemical space based on GDB-17 data Polishchuk, P. G.
2013
8 p. 675-679
artikel
63 Evaluation of different virtual screening strategies on the basis of compound sets with characteristic core distributions and dissimilarity relationships Miyao, Tomoyuki
2019
8 p. 729-743
artikel
64 Experimental versus predicted affinities for ligand binding to estrogen receptor: iterative selection and rescoring of docked poses systematically improves the correlation Wright, James S.
2013
8 p. 707-721
artikel
65 Exploring the inhibitory activity of valproic acid against the HDAC family using an MMGBSA approach Sixto-López, Yudibeth

8 p. 857-878
artikel
66 Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES Bjerrum, Esben Jannik

8 p. 373-394
artikel
67 Fast estimation of hydrogen-bonding donor and acceptor propensities: a GMIPp study Albert Salichs
2002
8 p. 569-583
15 p.
artikel
68 Fragment-based drug discovery Warr, Wendy A.
2009
8 p. 453-458
artikel
69 Fragment-based lead generation: identification of seed fragments by a highly efficient fragment screening technology Neumann, Lars
2009
8 p. 501-511
artikel
70 FRED and HYBRID docking performance on standardized datasets McGann, Mark
2012
8 p. 897-906
artikel
71 Free energy calculations offer insights into the influence of receptor flexibility on ligand–receptor binding affinities Dolenc, Jožica
2011
8 p. 709-716
artikel
72 Generating conformational transition paths with low potential-energy barriers for proteins Nguyen, Minh Khoa
2018
8 p. 853-867
artikel
73 Generation of a homology model of the human histamine H3 receptor for ligand docking and pharmacophore-based screening Schlegel, Birgit
2007
8 p. 437-453
artikel
74 Genetic algorithm for the design of molecules with desired properties Stefan Kamphausen
2002
8 p. 551-567
17 p.
artikel
75 H-DROP: an SVM based helical domain linker predictor trained with features optimized by combining random forest and stepwise selection Ebina, Teppei
2014
8 p. 831-839
artikel
76 How computational chemistry develops: a tribute to Peter Goodford Cruciani, Gabriele
2019
8 p. 699-703
artikel
77 How medicinal chemists learned about log P Martin, Yvonne Connolly
2018
8 p. 809-819
artikel
78 HTMoL: full-stack solution for remote access, visualization, and analysis of molecular dynamics trajectory data Carrillo-Tripp, Mauricio
2018
8 p. 869-876
artikel
79 Human farnesyl pyrophosphate synthase inhibition by nitrogen bisphosphonates: a 3D-QSAR study Fernández, David
2013
8 p. 739-754
artikel
80 Identification of common inhibitors of wild-type and T315I mutant of BCR-ABL through the parallel structure-based virtual screening Park, Hwangseo
2012
8 p. 983-992
artikel
81 Implicit solvation in the self-consistent mean field theory method: sidechain modelling and prediction of folding free energies of protein mutants Joaquim Mendes
2001
8 p. 721-740
20 p.
artikel
82 Improved convergence of binding affinities with free energy perturbation: Application to nonpeptide ligands with pp60src SH2 domain Daniel J. Price
2001
8 p. 681-695
15 p.
artikel
83 Improving binding mode and binding affinity predictions of docking by ligand-based search of protein conformations: evaluation in D3R grand challenge 2015 Xu, Xianjin
2017
8 p. 689-699
artikel
84 Improving the accuracy of ultrafast ligand-based screening: incorporating lipophilicity into ElectroShape as an extra dimension Armstrong, M. Stuart
2011
8 p. 785-790
artikel
85 Improving the binding affinity estimations of protein–ligand complexes using machine-learning facilitated force field method Soni, Anjali

8 p. 817-830
artikel
86 Insight into the mechanism of molecular recognition between human Integrin-Linked Kinase and Cpd22 and its implication at atomic level García-Marín, Javier

8 p. 575-589
artikel
87 Insights into the EGFR SAR of N-phenylquinazolin-4-amine-derivatives using quantum mechanical pairwise-interaction energies Simeon, Saw
2019
8 p. 745-757
artikel
88 In silico identification of new ligands for GPR17: a promising therapeutic target for neurodegenerative diseases Eberini, Ivano
2011
8 p. 743-752
artikel
89 Integrated data-driven and experimental approaches to accelerate lead optimization targeting SARS-CoV-2 main protease Varikoti, Rohith Anand

8 p. 339-355
artikel
90 Large-scale evaluation of cytochrome P450 2C9 mediated drug interaction potential with machine learning-based consensus modeling Rácz, Anita

8 p. 831-839
artikel
91 Lessons for fragment library design: analysis of output from multiple screening campaigns Chen, I-Jen
2009
8 p. 603-620
artikel
92 Ligand- and receptor-based docking with LiBELa Santos Muniz, Heloisa dos
2015
8 p. 713-723
artikel
93 Many InChIs and quite some feat Warr, Wendy A.
2015
8 p. 681-694
artikel
94 Mechanism of inhibition of human secretory phospholipase A2 by flavonoids: rationale for lead design Lättig, Jens
2007
8 p. 473-483
artikel
95 Metal complexes of chiral pentaazacrowns as conformational templates for -turn recognition Andrea J.H. Reaka
2002
8 p. 585-600
16 p.
artikel
96 Modeling dimerizations of transmembrane proteins using Brownian dynamics simulations Cui, Meng
2008
8 p. 553-561
artikel
97 Modeling ligand recognition at the P2Y12 receptor in light of X-ray structural information Paoletta, Silvia
2015
8 p. 737-756
artikel
98 Modeling receptor flexibility in the structure-based design of KRASG12C inhibitors Zhu, Kai

8 p. 591-604
artikel
99 Molecular docking and 3D-quantitative structure activity relationship analyses of peptidyl vinyl sulfones: Plasmodium Falciparum cysteine proteases inhibitors Teixeira, Cátia
2011
8 p. 763-775
artikel
100 Molecular dynamics simulation and linear interaction energy study of d-Glu-based inhibitors of the MurD ligase Perdih, Andrej
2013
8 p. 723-738
artikel
101 Molecular dynamics simulation of cyclosophoroheptadecaose (Cys-A) Hyunmyung Kim
2002
8 p. 601-610
10 p.
artikel
102 Molecular dynamics to enhance structure-based virtual screening on cathepsin B Ogrizek, Mitja
2015
8 p. 707-712
artikel
103 Molecular graph convolutions: moving beyond fingerprints Kearnes, Steven
2016
8 p. 595-608
artikel
104 mRAISE: an alternative algorithmic approach to ligand-based virtual screening Behren, Mathias M. von
2016
8 p. 583-594
artikel
105 Multiple linear regression models for predicting the n‑octanol/water partition coefficients in the SAMPL7 blind challenge Lopez, Kenneth

8 p. 923-931
artikel
106 Multitask machine learning models for predicting lipophilicity (logP) in the SAMPL7 challenge Lenselink, Eelke B.

8 p. 901-909
artikel
107 OFraMP: a fragment-based tool to facilitate the parametrization of large molecules Stroet, Martin

8 p. 357-371
artikel
108 Open3DALIGN: an open-source software aimed at unsupervised ligand alignment Tosco, Paolo
2011
8 p. 777-783
artikel
109 Outliers in SAR and QSAR: 2. Is a flexible binding site a possible source of outliers? Kim, Ki Hwan
2007
8 p. 421-435
artikel
110 Parametrization of a force field for metals complexed to biomacromolecules: applications to Fe(II), Cu(II) and Pb(II) Laurent David
2002
8 p. 635-651
17 p.
artikel
111 Pharmacophore-based virtual screening, biological evaluation and binding mode analysis of a novel protease-activated receptor 2 antagonist Cho, Nam-Chul
2016
8 p. 625-637
artikel
112 Predicting anticonvulsant activity of benzamides/benzylamines: computational approach using topological descriptors S. Sardana
2002
8 p. 545-550
6 p.
artikel
113 Prediction of blood-brain partitioning using Monte Carlo simulations of molecules in water Yiannis N. Kaznessis
2001
8 p. 697-708
12 p.
artikel
114 Prediction of plasma protein binding of drugs using Kier–Hall valence connectivity indices and 4D-fingerprint molecular similarity analyses Liu, Jianzhong
2005
8 p. 567-583
artikel
115 Prediction of protein–ligand binding affinity by free energy simulations: assumptions, pitfalls and expectations Michel, Julien
2010
8 p. 639-658
artikel
116 Predictive cartography of metal binders using generative topographic mapping Baskin, Igor I.
2017
8 p. 701-714
artikel
117 Protein structure prediction by tempering spatial constraints Gront, Dominik
2005
8 p. 603-608
artikel
118 QSAR of benzene derivatives: comparison of classical descriptors, quantum theoretic parameters and flip regression, exemplified by phenylalkylamine hallucinogens Brian W. Clare
2002
8 p. 611-633
23 p.
artikel
119 Quantitative Series Enrichment Analysis (QSEA): a novel procedure for 3D-QSAR analysis Wendt, Bernd
2008
8 p. 541-551
artikel
120 Rational Design, synthesis and biological evaluation of novel triazole derivatives as potent and selective PRMT5 inhibitors with antitumor activity Zhu, Kongkai
2019
8 p. 775-785
artikel
121 Representation, searching and discovery of patterns of bases in complex RNA structures Anne-Marie Harrison
2003
8 p. 537-549
13 p.
artikel
122 Resveratrol as a nontoxic excipient stabilizes insulin in a bioactive hexameric form Pathak, Bani Kumar

8 p. 915-927
artikel
123 Revealing the importance of linkers in K-series oxime reactivators for tabun-inhibited AChE using quantum chemical, docking and SMD studies Ghosh, Shibaji
2017
8 p. 729-742
artikel
124 ROCS-derived features for virtual screening Kearnes, Steven
2016
8 p. 609-617
artikel
125 SAMPL7 physical property prediction from EC-RISM theory Tielker, Nicolas

8 p. 933-941
artikel
126 Second-generation de novo design: a view from a medicinal chemist perspective Zaliani, Andrea
2009
8 p. 593-602
artikel
127 Simple knowledge-based descriptors to predict protein-ligand interactions. Methodology and validation J. Willem M. Nissink
2000
8 p. 787-803
17 p.
artikel
128 Simultaneous prediction of aqueous solubility and octanol/water partition coefficient based on descriptors derived from molecular structure David J. Livingstone
2001
8 p. 741-752
12 p.
artikel
129 Structural insights for the design of new PPARgamma partial agonists with high binding affinity and low transactivation activity Guasch, Laura
2011
8 p. 717-728
artikel
130 Structural models in the assessment of protein druggability based on HTS data Gupta, Anvita
2009
8 p. 583-592
artikel
131 Structural prediction of a novel chitinase from the psychrophilic Glaciozyma antarctica PI12 and an analysis of its structural properties and function Ramli, Aizi Nor Mazila
2012
8 p. 947-961
artikel
132 Structure based design of selective SHP2 inhibitors by De novo design, synthesis and biological evaluation Liu, Wen-Shan
2019
8 p. 759-774
artikel
133 Structure-based prediction of free energy changes of binding of PTP1B inhibitors Jing Wang
2003
8 p. 495-513
19 p.
artikel
134 Systematic mining of analog series with related core structures in multi-target activity space Gupta-Ostermann, Disha
2013
8 p. 665-674
artikel
135 TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree Arif, Muhammad

8 p. 841-856
artikel
136 The multi-copy simultaneous search methodology: a fundamental tool for structure-based drug design Schubert, Christian R.
2009
8 p. 475-489
artikel
137 The multiple roles of computational chemistry in fragment-based drug design Law, Richard
2009
8 p. 459-473
artikel
138 The reductionist paradox: are the laws of chemistry and physics sufficient for the discovery of new drugs? Maggiora, Gerald M.
2011
8 p. 699-708
artikel
139 Topological side-chain classification of β-turns: Ideal motifs for peptidomimetic development Tran, Tran Trung
2005
8 p. 551-566
artikel
140 Two-track virtual screening approach to identify both competitive and allosteric inhibitors of human small C-terminal domain phosphatase 1 Park, Hwangseo
2017
8 p. 743-753
artikel
141 Using halogen bonds to address the protein backbone: a systematic evaluation Wilcken, Rainer
2012
8 p. 935-945
artikel
142 Validated ligand mapping of ACE active site Kuster, Daniel J.
2005
8 p. 609-615
artikel
143 Vascular endothelial growth factor receptor-2 (VEGFR-2) inhibitors: development and validation of predictive 3-D QSAR models through extensive ligand- and structure-based approaches Ragno, Rino
2015
8 p. 757-776
artikel
144 Virtual fragment screening: an exploration of various docking and scoring protocols for fragments using Glide Kawatkar, Sameer
2009
8 p. 527-539
artikel
145 Virtual fragment screening: exploration of MM-PBSA re-scoring Kawatkar, Sameer
2012
8 p. 921-934
artikel
146 Visual exploration of structure–activity relationship using maximum common framework Cho, Sung Jin
2008
8 p. 571-578
artikel
147 Visualization of multi-property landscapes for compound selection and optimization Vega de León, Antonio de la
2015
8 p. 695-705
artikel
148 VolSurf analysis of pharmacokinetic properties for several antifungalsesquiterpene lactones isolated from Greek Centaurea sp. Koukoulitsa, Catherine
2005
8 p. 617-623
artikel
                             148 gevonden resultaten
 
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