Abstract：
:Structure-based computational target prediction methods identify potential targets for a bioactive compound. Methods based on protein-ligand docking so far face many challenges, where the greatest probably is the ranking of true targets in a large data set of protein structures. Currently, no standard data sets for evaluation exist, rendering comparison and demonstration of improvements of methods cumbersome. Therefore, we propose two data sets and evaluation strategies for a meaningful evaluation of new target prediction methods, i.e., a small data set consisting of three target classes for detailed proof-of-concept and selectivity studies and a large data set consisting of 7992 protein structures and 72 drug-like ligands allowing statistical evaluation with performance metrics on a drug-like chemical space. Both data sets are built from openly available resources, and any information needed to perform the described experiments is reported. We describe the composition of the data sets, the setup of screening experiments, and the evaluation strategy. Performance metrics capable to measure the early recognition of enrichments like AUC, BEDROC, and NSLR are proposed. We apply a sequence-based target prediction method to the large data set to analyze its content of nontrivial evaluation cases. The proposed data sets are used for method evaluation of our new inverse screening method iRAISE. The small data set reveals the method's capability and limitations to selectively distinguish between rather similar protein structures. The large data set simulates real target identification scenarios. iRAISE achieves in 55% excellent or good enrichment a median AUC of 0.67 and RMSDs below 2.0 Å for 74% and was able to predict the first true target in 59 out of 72 cases in the top 2% of the protein data set of about 8000 structures.
journal_name
J Chem Inf Modeljournal_title
Journal of chemical information and modelingauthors
Schomburg KT,Rarey Mdoi
10.1021/ci500131xsubject
Has Abstractpub_date
2014-08-25 00:00:00pages
2261-74issue
8eissn
1549-9596issn
1549-960Xjournal_volume
54pub_type
杂志文章abstract：:Nonfibrillar neurotoxic amyloid β (Aβ) oligomer structures are typically rich in β-sheets, which could be promoted by metal ions like Zn(2+). Here, using molecular dynamics (MD) simulations, we systematically examined combinations of Aβ40 peptide conformations and Zn(2+) binding modes to probe the effects of secondary...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.5b00063
更新日期：2015-06-22 00:00:00
abstract：:Growing data sets with increased time for analysis is hampering predictive modeling in drug discovery. Model building can be carried out on high-performance computer clusters, but these can be expensive to purchase and maintain. We have evaluated ligand-based modeling on cloud computing resources where computations ar...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci500580y
更新日期：2015-01-26 00:00:00
abstract：:Whereas 400 million distinct compounds are now purchasable within the span of a few weeks, the biological activities of most are unknown. To facilitate access to new chemistry for biology, we have combined the Similarity Ensemble Approach (SEA) with the maximum Tanimoto similarity to the nearest bioactive to predict a...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.7b00316
更新日期：2018-01-22 00:00:00
abstract：:Metabolic stability is an important property of drug molecules that should-optimally-be taken into account early on in the drug design process. Along with numerous medium- or high-throughput assays being implemented in early drug discovery, a prediction tool for this property could be of high value. However, metabolic...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci700142c
更新日期：2008-04-01 00:00:00
abstract：:Discovery of new antibacterial agents is a never-ending task of medicinal chemistry. Every new drug brings significant improvement to patients with bacterial infections, but prolonged usage of antibacterials leads to the emergence of resistant strains. Therefore, novel active structures with new modes of action are re...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.9b00436
更新日期：2019-11-25 00:00:00
abstract：:As a result of the widespread industrial use of polychlorinated hydrocarbons, they have accumulated in nearly all types of environmental compartments, especially in aquatic systems. Particularly, chloroaromatics are among the most undesirable industrial effluents because of their persistence and toxicity. To predict c...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci0501342
更新日期：2005-07-01 00:00:00
abstract：:The spatial sign is a multivariate extension of the concept of sign. Recently multivariate estimators of covariance structures based on spatial signs have been examined by various authors. These new estimators are found to be robust to outlying observations. From a computational point of view, estimators based on spat...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci050498u
更新日期：2006-05-01 00:00:00
abstract：:Molecular fragment dynamics (MFD) is a variant of dissipative particle dynamics (DPD), a coarse-grained mesoscopic simulation technique for isothermal complex fuids and soft matter systems with particles that are chosen to be adequate fluid elements. MFD choses its particles to be small molecules which may be connecte...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci5006096
更新日期：2015-05-26 00:00:00
abstract：:QSPR studies, using scores of SciTegic's extended connectivity fingerprint as raw descriptors, were extended to the prediction of melting points and aqueous solubility of organic compounds. Robust partial least-squares models were developed that perform as well as the best published QSPR models for structurally divers...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci800024c
更新日期：2008-05-01 00:00:00
abstract：:Molecular docking programs are widely used modeling tools for predicting ligand binding modes and structure based virtual screening. In this study, six molecular docking programs (DOCK, FlexX, GLIDE, ICM, PhDOCK, and Surflex) were evaluated using metrics intended to assess docking pose and virtual screening accuracy. ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci900056c
更新日期：2009-06-01 00:00:00
abstract：:Reaction databases provide a great deal of useful information to assist planning of experiments but do not provide any interpretation or chemical concepts to accompany this information. In this work, reactions are labeled with experimental conditions, and network analysis shows that consistencies within clusters of da...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.9b00313
更新日期：2019-09-23 00:00:00
abstract：:Given the need for modern researchers to produce open, reproducible scientific output, the lack of standards and best practices for sharing data and workflows used to produce and analyze molecular dynamics (MD) simulations has become an important issue in the field. There are now multiple well-established packages to ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.9b00665
更新日期：2019-10-28 00:00:00
abstract：:Aminoglycosides are antibiotics targeting the 16S RNA A site of the bacterial ribosome. There have been many efforts directed toward design of their synthetic derivatives, however with only few successes. As RNA binders, aminoglycosides are also a difficult target for computational drug design, since most of the exist...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci800361a
更新日期：2009-02-01 00:00:00
abstract：:Molecular dynamics simulations provide valuable insights into the behavior of molecular systems. Extending the recent trend of using machine learning techniques to predict physicochemical properties from molecular dynamics data, we propose to consider the trajectories as multidimensional time series represented by 2D ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.9b00135
更新日期：2019-08-26 00:00:00
abstract：:Traditionally, a drug potency is expressed in terms of thermodynamic quantities, mostly Kd, and empirical IC50 values. Although binding affinity as an estimate of drug activity remains relevant, it is increasingly clear that it is also important to include (un)binding kinetic parameters in the characterization of pote...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.8b00518
更新日期：2018-11-26 00:00:00
abstract：:The effects of paclitaxel (PTX) loading fraction and spatial PTX arrangement on poly(γ-glutamyl-glutamate) paclitaxel (PGG-PTX) aggregation were explored using coarse-grained molecular dynamics. Results show that the PTX loading fraction does not significantly impact aggregation, and the spatial PTX arrangement only a...
journal_title：Journal of chemical information and modeling
pub_type： 信件
doi：10.1021/ci200214m
更新日期：2011-12-27 00:00:00
abstract：:Identifying drug-target interactions (DTIs) plays an important role in the field of drug discovery, drug side-effects, and drug repositioning. However, in vivo or biochemical experimental methods for identifying new DTIs are extremely expensive and time-consuming. Recently, in silico or various computational methods h...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.9b00408
更新日期：2019-07-22 00:00:00
abstract：:Mapping the chemical space of small organic molecules is approached from a theoretical graph theory viewpoint, in an effort to begin the systematic exploration of molecular topologies. We present an algorithm for exhaustive generation of scaffold topologies with up to eight rings and an efficient comparison method for...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci7003412
更新日期：2008-07-01 00:00:00
abstract：:We used synthetic peloruside A for the commercial preparation of [³H]peloruside A. The radiolabeled compound bound to preformed tubulin polymer in amounts stoichiometric with the polymer's tubulin content, with an apparent K(d) value of 0.35 μM. A less active peloruside A analogue, (11-R)-peloruside A and laulimalide ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci1002894
更新日期：2010-11-22 00:00:00
abstract：:The d-Ala:d-Lac ligase, VanA, plays a critical role in the resistance of vancomycin. Indeed, it is involved in the synthesis of a peptidoglycan precursor, to which vancomycin cannot bind. The reaction catalyzed by VanA requires the opening of the so-called "ω-loop", so that the substrates can enter the active site. He...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.6b00211
更新日期：2016-09-26 00:00:00
abstract：:Representative molecules from 10 classes of prohibited substances were taken from the World Anti-Doping Agency (WADA) list, augmented by molecules from corresponding activity classes found in the MDDR database. Together with some explicitly allowed compounds, these formed a set of 5245 molecules. Five types of fingerp...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci0601160
更新日期：2006-11-01 00:00:00
abstract：:We report the development of homology models of dopamine (D(2), D(3), and D(4)), serotonin (5-HT(1B), 5-HT(2A), 5-HT(2B), and 5-HT(2C)), histamine (H(1)), and muscarinic (M(1)) receptors, based on the high-resolution structure of the beta(2)-adrenergic receptor. The homology models were built and refined using Prime. ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci900444q
更新日期：2010-04-26 00:00:00
abstract：:The ongoing search for fast Li-ion conducting solid electrolytes has driven the deployment surge on density functional theory (DFT) computation and materials informatics for exploring novel chemistries before actual experimental testing. Existing structure prototypes can now be readily evaluated beforehand not only to...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci500752n
更新日期：2015-06-22 00:00:00
abstract：:Curvularia lunata is a dark pigmented fungus that is the causative agent of several diseases in plants and in both immunodeficient and immunocompetent patients. 1,8-Dihydroxynaphthalene-melanin is found in the cell wall of C. lunata and is believed to be the important virulence factor of dematiaceous fungi. Trihydroxy...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci2001499
更新日期：2011-07-25 00:00:00
abstract：:The emergence of a large amount of pharmacological, genomic, and network knowledge data provides new challenges and opportunities for drug discovery and development. Identification of real small-molecule drug (SM)-miRNA associations is not only important in the development of effective drug repositioning but also cruc...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.0c00244
更新日期：2020-08-24 00:00:00
abstract：:3-Pyridyl ethers are excellent nAChRs ligands, which show high subtype selectivity and binding affinity to alpha4beta2 nAChR. Although the quantitative structure-activity relationship (QSAR) of nAChRs ligands has been widely investigated using various classes of compounds, the open ring analogues of 3-pyridyl ethers h...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci0498113
更新日期：2005-03-01 00:00:00
abstract：:A database has been derived from recently reported [60]fullerene derivatives, and their binding scores with HIV-1 PR have been computed using docking techniques. Computational methods have been used to predict which derivatives may have high binding affinities, and for these compounds biological tests have been perfor...
journal_title：Journal of chemical information and modeling
pub_type： 信件
doi：10.1021/ci900047s
更新日期：2009-05-01 00:00:00
abstract：:The human androgen receptor (AR) is a ligand-activated transcription factor that plays a pivotal role in the development and progression of prostate cancer (PCa). Many forms of castration-resistant prostate cancer (CRPC) still rely on the AR for survival. Currently used antiandrogens face clinical limitations as drug ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.6b00400
更新日期：2016-12-27 00:00:00
abstract：:A three-dimensional homology model of the human histamine H 4 receptor was developed to investigate the binding mode of a series of structurally diverse H 4-agonists, i.e. histamine, clozapine, and the recently described selective, nonimidazole agonist VUF 8430. Mutagenesis studies and docking of these ligands in a rh...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/ci700474a
更新日期：2008-07-01 00:00:00
abstract：:HIV-1 replication requires binding to occur between Trans-activation Response Element (TAR) RNA and the TAT protein. This TAR-TAT binding depends on the conformation of TAR, and therapeutic development has attempted to exploit this dynamic behavior. Here we simulate TAR dynamics in the context of mutations inhibiting ...
journal_title：Journal of chemical information and modeling
pub_type： 杂志文章
doi：10.1021/acs.jcim.6b00152
更新日期：2016-09-26 00:00:00
