Abstract:
:The failure of default scoring functions to ensure virtual screening enrichment is a persistent problem for the molecular docking algorithms used in structure-based drug discovery. To remedy this problem, elaborate rescoring and postprocessing schemes have been developed with a varying degree of success, specificity, and cost. The negative image-based rescoring (R-NiB) has been shown to improve the flexible docking performance markedly with a variety of drug targets. The yield improvement is achieved by comparing the alternative docking poses against the negative image of the target protein's ligand-binding cavity. In other words, the shape and electrostatics of the binding pocket is directly used in the similarity comparison to rank the explicit docking poses. Here, the PANTHER/ShaEP-based R-NiB methodology is tested with six popular docking softwares, including GLIDE, PLANTS, GOLD, DOCK, AUTODOCK, and AUTODOCK VINA, using five validated benchmark sets. Overall, the results indicate that R-NiB outperforms the default docking scoring consistently and inexpensively, demonstrating that the methodology is ready for wide-scale virtual screening usage.
journal_name
J Chem Inf Modeljournal_title
Journal of chemical information and modelingauthors
Kurkinen ST,Lätti S,Pentikäinen OT,Postila PAdoi
10.1021/acs.jcim.9b00383subject
Has Abstractpub_date
2019-08-26 00:00:00pages
3584-3599issue
8eissn
1549-9596issn
1549-960Xjournal_volume
59pub_type
杂志文章abstract::Generalization of an earlier algorithm has led to the development of new local structural alignment algorithms for prediction of protein-protein binding sites. The algorithms use maximum cliques on protein graphs to define structurally similar protein regions. The search for structural neighbors in the new algorithms ...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci100265x
更新日期:2010-10-25 00:00:00
abstract::Several drugs elicit their therapeutic efficacy by modulating multiple cellular targets and possess varied polypharmacological actions. The identification of the molecular targets of a potent bioactive molecule is essential in determining its overall polypharmacological profile. Experimental procedures are expensive a...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.7b00227
更新日期:2018-01-22 00:00:00
abstract::Development of coarse-grained (CG) molecular dynamics models is often a laborious process which commonly relies upon approximations to similar models, rather than systematic parametrization. PyCGTOOL automates much of the construction of CG models via calculation of both equilibrium values and force constants of inter...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.7b00096
更新日期:2017-04-24 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::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::With the emergence of large collections of protein-ligand complexes complemented by binding data, as found in PDBbind or BindingMOAD, new opportunities for parametrizing and evaluating scoring functions have arisen. With huge data collections available, it becomes feasible to fit scoring functions in a QSAR style, i.e...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci100264e
更新日期:2010-11-22 00:00:00
abstract::The knowledge of the capacity of a data set to be modeled in the first stages of the building of quantitative structure-activity relationship (QSAR) prediction models is an important issue because it might reduce the effort and time necessary to select or reject data sets and in refining the data set's composition. Th...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.8b00188
更新日期:2018-09-24 00:00:00
abstract::Side-chain modeling is critical for protein structure prediction since the uniqueness of the protein structure is largely determined by its side-chain packing conformation. In this paper, differing from most approaches that rely on rotamer library sampling, we first propose a novel side-chain rotamer prediction method...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.0c00951
更新日期:2020-12-28 00:00:00
abstract::Telomere maintenance is a universal cancer hallmark, and small molecules that disrupt telomere maintenance generally have anticancer properties. Since the vast majority of cancer cells utilize telomerase activity for telomere maintenance, the enzyme has been considered as an anticancer drug target. Recently, rational ...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.5b00336
更新日期:2015-12-28 00:00:00
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::In the present work, the Henderson-Hasselbalch (HH) equation has been employed for the development of a tool for the prediction of pH-dependent aqueous solubility of drugs and drug candidates. A new prediction method for the intrinsic solubility was developed, based on artificial neural networks that have been trained...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci600292q
更新日期:2006-11-01 00:00:00
abstract::Inhibition of protein-protein interactions (PPIs) is emerging as a promising therapeutic strategy despite the difficulty in targeting such interfaces with drug-like small molecules. PPIs generally feature large and flat binding surfaces as compared to typical drug targets. These features pose a challenge for structura...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.5b00103
更新日期:2015-08-24 00:00:00
abstract::The applicability and scope of 3D QSAR methods (CoMFA, CoMSIA) to screen databases are examined. A protocol requiring minimal user intervention has been established to align training and test set molecules using FlexS. As model system isozymes of human carbonic anhydrase (hCA) are used, all results are exemplified stu...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci7002945
更新日期:2008-02-01 00:00:00
abstract::Inhibitors of histone deacetylases (HDACIs) have emerged as a new class of drugs for the treatment of human cancers and other diseases because of their effects on cell growth, differentiation, and apoptosis. In this study we have developed several quantitative structure-activity relationship (QSAR) models for 59 chemi...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci800366f
更新日期:2009-02-01 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::Knowledge of the interactions between drugs and transporters is important for drug discovery and development as well as for the evaluation of their clinical safety. We recently developed a text-mining system for the automatic extraction of information on chemical-CYP3A4 interactions from the literature. This system is...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci4003188
更新日期:2013-10-28 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::Covalent inhibitors have been gaining increased attention in drug discovery due to their beneficial properties such as long residence time, high biochemical efficiency, and specificity. Optimization of covalent inhibitors is a complex task that involves parallel monitoring of the noncovalent recognition elements and t...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.0c00834
更新日期:2020-12-28 00:00:00
abstract::Compounds with high-confidence target annotations and activity measurements in the original and current release of the ChEMBL database have been compared to better understand how the growth of compound activity data might influence the spectrum of ligand-target interactions and the degree of target promiscuity among a...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci3003304
更新日期:2012-10-22 00:00:00
abstract::A phenotypic screen (PS) is used to identify compounds causing a desired phenotype in a complex biological system where mechanisms and targets are largely unknown. Deconvoluting the mechanism of action of actives and identification of relevant targets and pathways remains a formidable challenge. Current methods fail t...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci400245c
更新日期:2014-02-24 00:00:00
abstract::Iterative screening has emerged as a promising approach to increase the efficiency of high-throughput screening (HTS) campaigns in drug discovery. By learning from a subset of the compound library, inferences on what compounds to screen next can be made by predictive models. One of the challenges of iterative screenin...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.8b00724
更新日期:2019-03-25 00:00:00
abstract::It is demonstrated that the fragmentation of druglike molecules by applying simplistic pseudo-retrosynthesis results in a stock of chemically meaningful building blocks for de novo molecule generation. A stochastic search algorithm in conjunction with ligand-based similarity scoring (Flux: fragment-based ligand builde...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci0503560
更新日期:2006-03-01 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::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::Encapsulation of peptide and protein-based drugs in polymeric nanoparticles is one of the fundamental fields in controlled-release drug delivery systems. The molecular mechanisms of absorption of peptides to the polymeric nanoparticles are still unknown, and there is no precise molecular data on the encapsulation proc...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.8b00641
更新日期:2019-01-28 00:00:00
abstract::ThermoData Engine (TDE) is the first full-scale software implementation of the dynamic data evaluation concept, as reported in this journal. The present article describes the background and implementation for new additions in latest release of TDE. Advances are in the areas of program architecture and quality improvem...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci4005699
更新日期:2013-12-23 00:00:00
abstract::Docking into multiple receptor conformations ("ensemble docking") has been proposed, and employed, in the hope that it may account for receptor flexibility in virtual screening and thus provide higher enrichments than docking into single rigid receptor structures. The statistical analyses presented in this paper provi...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci900407c
更新日期:2010-04-26 00:00:00
abstract::Engineered nanomaterials (ENMs) are increasingly infiltrating our lives as a result of their applications across multiple fields. However, ENM formulations may result in the modulation of pathways and mechanisms of toxic action that endanger human health and the environment. Alternative testing methods such as in sili...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/acs.jcim.7b00223
更新日期:2017-09-25 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::With a rapid increase in the number of high-resolution protein-ligand structures, the known protein-ligand structures can be used to gain insight into ligand-binding modes in a target protein. On the basis of the fact that the structurally similar binding sites share information about their ligands, we have developed ...
journal_title:Journal of chemical information and modeling
pub_type: 杂志文章
doi:10.1021/ci300178e
更新日期:2012-10-22 00:00:00