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 |
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