Abstract：
:Standardization is used to ensure that the variables in a similarity calculation make an equal contribution to the computed similarity value. This paper compares the use of seven different methods that have been suggested previously for the standardization of integer-valued or real-valued data, comparing the results with unstandardized data. Sets of structures from the MDL Drug Data Report and IDAlert databases and represented by Pipeline Pilot physicochemical parameters, molecular holograms and Molconn-Z parameters are clustered using the k-means and Ward's clustering methods. The resulting classifications are evaluated in terms of the degree of clustering of active compounds selected from eleven different biological activity classes, with these classes also being used in similarity searches. It is shown that there is no consistent pattern when the various standardization methods are ranked in order of decreasing effectiveness and that there is no obvious performance benefit (when compared to unstandardized data) that is likely to be obtained from the use of any particular standardization method.
journal_name
J Chem Inf Modeljournal_title
Journal of chemical information and modelingauthors
Chu CW,Holliday JD,Willett Pdoi
10.1021/ci800224hsubject
Has Abstractpub_date
2009-02-01 00:00:00pages
155-61issue
2eissn
1549-9596issn
1549-960Xpii
10.1021/ci800224hjournal_volume
49pub_type
杂志文章abstract：:Simulating protein flexibility is a major issue in the docking-based drug-design process for which a single methodological solution does not exist. In our search of new anti-Alzheimer ligands, we were faced with the challenge of including receptor plasticity in a virtual screening campaign aimed at finding new β-secre...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci300390h
更新日期：2012-10-22 00:00:00
abstract：:A major concern of chemogenomics is to associate drug activity with biological variables. Several reports have clustered cell line drug activity profiles as well as drug activity-gene expression correlation profiles and noted that the resulting groupings differ but still reflect mechanism of action. The present paper ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci060073n
更新日期：2007-01-01 00:00:00
abstract：:We introduce SARANEA, an open-source Java application for interactive exploration of structure-activity relationship (SAR) and structure-selectivity relationship (SSR) information in compound sets of any source. SARANEA integrates various SAR and SSR analysis functions and utilizes a network-like similarity graph data...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci900416a
更新日期：2010-01-01 00:00:00
abstract：:We have performed a ligand coordinate analysis to monitor the movement of the inhibitor SC-558 from the active site of the COX-2 protein to the exterior using molecular dynamics techniques. This study provides an insight into the intermolecular interactions formed by the ligand during this journey. The published cryst...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci050142i
更新日期：2006-07-01 00:00:00
abstract：:The COSMO surface polarization charge density σ resulting from quantum chemical calculations combined with a virtual conductor embedding has been widely proven to be a very suitable descriptor for the quantification of interactions of molecules in liquids. In a preceding paper, grid-based local histograms of σ have be...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci300231t
更新日期：2012-08-27 00:00:00
abstract：:Umami or the taste of monosodium glutamate represents one of the major attractive taste modalities in humans. Therefore, knowledge about biophysical and biochemical properties of the umami taste is important for both scientific research and the food industry. Experimental approaches for predicting umami peptides are l...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.0c00707
更新日期：2020-12-28 00:00:00
abstract：:We present an algorithm, ReFlex3D, for the refinement of flexible molecular alignments based on their three-dimensional shape and electrostatic properties. The algorithm is designed to be used with fast conformer generators to refine an initial overlay between two molecules and thus to obtain improved overlaps as judg...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.7b00618
更新日期：2018-04-23 00:00:00
abstract：:TAMkin is a program for the calculation and analysis of normal modes, thermochemical properties and chemical reaction rates. At present, the output from the frequently applied software programs ADF, CHARMM, CPMD, CP2K, Gaussian, Q-Chem, and VASP can be analyzed. The normal-mode analysis can be performed using a broad ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci100099g
更新日期：2010-09-27 00:00:00
abstract：:In this study, we tried to establish a general scheme to create a model that could predict the affinity of small compounds to their target proteins. This scheme consists of a search for ligand-binding sites on a protein, a generation of bound conformations (poses) of ligands in each of the sites by docking, identifica...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci800313h
更新日期：2009-04-01 00:00:00
abstract：:Deep learning has drawn significant attention in different areas including drug discovery. It has been proposed that it could outperform other machine learning algorithms, especially with big data sets. In the field of pharmaceutical industry, machine learning models are built to understand quantitative structure-acti...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.8b00671
更新日期：2019-03-25 00:00:00
abstract：:Screening large libraries of chemicals has been an efficient strategy to discover bioactive compounds; however a portion of the potential for success is limited to the available libraries. Synergizing combinatorial and computational chemistries has emerged as a time-efficient strategy to explore the chemical space mor...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.6b00648
更新日期：2017-03-27 00:00:00
abstract：:There is a renewed interest in computer-aided synthesis planning, where the vast majority of approaches require the application of retrosynthetic reaction templates. Here we introduce RDChiral, an open-source Python wrapper for RDKit designed to provide consistent handling of stereochemical information in applying ret...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.9b00286
更新日期：2019-06-24 00:00:00
abstract：:As an important member of cytochrome P450 (CYP) enzymes, CYP17A1 is a dual-function monooxygenase with a critical role in the synthesis of many human steroid hormones, making it an attractive therapeutic target. The emerging structural information about CYP17A1 and the growing number of inhibitors for these enzymes ca...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.0c00447
更新日期：2020-07-27 00:00:00
abstract：:The three-dimensional structures of 3-anilino-4-arylmaleimides, selective GSK-3beta inhibitors, were correlated to their biological affinities by 3D-QSAR studies (CoMFA method). The cocrystallographic data of GSK-3beta vs 3-anilino-4-arylmaleimide allowed us to compare 3D-QSAR results to experimental intermolecular in...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci050008y
更新日期：2005-05-01 00:00:00
abstract：:The configuring of a radial basis function network (RBFN) consists of selecting the network parameters (centers and widths in RBF units and weights between the hidden and output layers) and network architecture. The issues of suboptimum and overfitting, however, often occur in RBFN configuring. This paper presented a ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci600218d
更新日期：2006-11-01 00:00:00
abstract：:In this study, two probabilistic machine-learning algorithms were compared for in silico target prediction of bioactive molecules, namely the well-established Laplacian-modified Naïve Bayes classifier (NB) and the more recently introduced (to Cheminformatics) Parzen-Rosenblatt Window. Both classifiers were trained in ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci300435j
更新日期：2013-08-26 00:00:00
abstract：:Over the last few decades, anticancer peptides (ACPs) have turned into potential warheads against cancer. Apart from small molecules and monoclonal antibodies, ACPs have been proven to be effective against cancer cells. ACPs are small cationic peptides that selectively bind to the negatively charged cancer cell membra...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.9b00348
更新日期：2020-01-27 00:00:00
abstract：:The roles of chemical compounds in biological systems are now systematically analyzed by high-throughput experimental technologies. To automate the processing and interpretation of large-scale data it is necessary to develop bioinformatics methods to extract information from the chemical structures of these small mole...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci700006f
更新日期：2007-07-01 00:00:00
abstract：:In the present study, we report the exploration of binding modes of potent HIV-1 integrase (IN) inhibitors MK-0518 (raltegravir) and GS-9137 (elvitegravir) as well as chalcone and related amide IN inhibitors we recently synthesized and the development of 3D-QSAR models for integrase inhibition. Homology models of DNA-...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci200485a
更新日期：2012-02-27 00:00:00
abstract：:Sterol 14α-demethylase (CYP51) is the main drug target for the treatment of fungal infections. The discovery of new efficient fungal CYP51 inhibitors requires an understanding of the structural requirements for selectivity for the fungal over the human ortholog. In this study, a binding mode of the pyridylethanol(phen...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci500556k
更新日期：2014-12-22 00:00:00
abstract：:An essential feature of all practical de novo molecule generating programs is the ability to focus the potential combinatorial explosion of grown molecules on a desired chemical space. It is a daunting task to balance the generation of new molecules with limitations on growth that produce desired features such as stab...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci9000458
更新日期：2009-07-01 00:00:00
abstract：:Three-dimensional protein structures are a key requisite for structure-based drug discovery. For many highly relevant targets, medicinal chemists are confronted with large numbers of target structures in their apo-forms or in complex with a wealth of different ligands. To exploit the full potential of such structure e...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.0c00051
更新日期：2020-04-27 00:00:00
abstract：:Arachidonic acid is an essential fatty acid in cells, acting as a key inflammatory intermediate in inflammatory reactions. In cardiac tissues, CYP2J2 can adopt arachidonic acid as a major substrate to produce epoxyeicosatrienoic acids (EETs), which can protect endothelial cells from ischemic or hypoxic injuries and ha...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci400003p
更新日期：2013-06-24 00:00:00
abstract：:Molecular fingerprints are widely used for similarity-based virtual screening in drug discovery projects. In this paper we discuss the performance and the complementarity of nine two-dimensional fingerprints (Daylight, Unity, AlFi, Hologram, CATS, TRUST, Molprint 2D, ChemGPS, and ALOGP) in retrieving active molecules ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci0504723
更新日期：2006-05-01 00:00:00
abstract：:The human cytochrome P450 1A2 is an important drug metabolizing and procarcinogen activating enzyme. An experimental study found that a peripheral mutation, F186L, at ∼26 Å away from the enzyme's active site, caused a significant reduction in the enzymatic activity of 1A2 deethylation reactions. In this paper, we expl...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci200112b
更新日期：2011-06-27 00:00:00
abstract：:In this paper, we introduce the BiKi Life Sciences suite. This software makes it easy for computational medicinal chemists to run ad hoc molecular dynamics protocols in a novel and task-oriented environment; as a notebook, BiKi (acronym of Binding Kinetics) keeps memory of any activity together with dependencies among...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.7b00680
更新日期：2018-02-26 00:00:00
abstract：:Optimization of ligand binding affinity to the target protein of interest is a primary objective in small-molecule drug discovery. Until now, the prediction of binding affinities by computational methods has not been widely applied in the drug discovery process, mainly because of its lack of accuracy and reproducibili...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.6b00780
更新日期：2017-04-24 00:00:00
abstract：:Identifying sequence modifications that distinguish psychrophilic from mesophilic proteins is important for designing enzymes with different thermodynamic stabilities and to understand the underlying mechanisms. The PoPMuSiC algorithm is used to introduce, in silico, all the single-site mutations in four mesophilic an...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci050473v
更新日期：2006-05-01 00:00:00
abstract：:In this study, in order to elucidate the action mechanism of traditional Chinese medicines (TCMs) that exhibit clinical efficacy for type II diabetes mellitus (T2DM), an integrated protocol that combines molecular docking and pharmacophore mapping was employed to find the potential inhibitors from TCM for the T2DM-rel...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci400146u
更新日期：2013-07-22 00:00:00
abstract：:Solubility parameter models are widely used to select suitable solvents/nonsolvents for polymers in a variety of processing and engineering applications. In this study, we focus on two well-established models, namely, the Hildebrand and Hansen solubility parameter models. Both models are built on the basis of the noti...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.9b00656
更新日期：2019-10-28 00:00:00
