ISSN: 1549-9596

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Journal of Chemical Information and Modeling Q1 Unclaimed

American Chemical Society United States

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Journal of Chemical Information and Modeling is a journal indexed in SJR in Chemical Engineering (miscellaneous) and Chemistry (miscellaneous) with an H index of 192. It has a price of 3678 €. It has an SJR impact factor of 1,396 and it has a best quartile of Q1. It is published in English. It has an SJR impact factor of 1,396.

Journal of Chemical Information and Modeling focuses its scope in these topics and keywords: structure, activity, based, prediction, protein, molecular, iv, molecule, protease, proteins, ...

Type: Journal

Type of Copyright:

Languages: English

Open Access Policy: Open Choice

Type of publications:

Publication frecuency: -

Categories: Chemical Engineering (miscellaneous) (Q1) Chemistry (miscellaneous) (Q1) Computer Science Applications (Q1) Library and Information Sciences (Q1)

Price

3678 €

Inmediate OA

1839 €

Embargoed OA

0 €

Non OA

Metrics

Journal of Chemical Information and Modeling

1,396

SJR Impact factor

192

H Index

741

Total Docs (Last Year)

1699

Total Docs (3 years)

46100

Total Refs

10352

Total Cites (3 years)

1678

Citable Docs (3 years)

6.05

Cites/Doc (2 years)

62.21

Ref/Doc

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Aims and Scope

Best articles by citations

bioassayR: Cross-Target Analysis of Small Molecule Bioactivity

Using Wavelet Analysis To Assist in Identification of Significant Events in Molecular Dynamics Simulations

In Silico Analysis of the Thermodynamic Stability Changes of Psychrophilic and Mesophilic a-Amylases upon Exhaustive Single-Site Mutations

Global Bayesian Models for the Prioritization of Antitubercular Agents

Experimental and Chemoinformatics Study of Tautomerism in a Database of Commercially Available Screening Samples

Chemical-Space-Based de Novo Design Method To Generate Drug-Like Molecules

Coarse-Grained Simulations of Membrane Insertion and Folding of Small Helical Proteins Using the CABS Model

Comparison of Consensus Scoring Strategies for Evaluating Computational Models of Protein-Ligand Complexes

Fragment-Based Lead Discovery and Design

Discovery of Novel Pim-1 Kinase Inhibitors with a Flexible-Receptor Docking Protocol

Looking Back to the Future: Predictingin VivoEfficacy of Small Molecules versusMycobacterium tuberculosis

A Selectivity Study of FFAR4/FFAR1 Agonists by Molecular Modeling

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Discovery of Potent, Reversible, and Competitive Cruzain Inhibitors with Trypanocidal Activity: A Structure-Based Drug Design Approach

In Silico Design of Novel Mutant Anti-MUC1 Aptamers for Targeted Cancer Therapy

PEARLS: Program for Energetic Analysis of Receptor-Ligand System

Dihedral Angle-Based Sampling of Natural Product Polyketide Conformations: Application to Permeability Prediction

Automated Protocol for Large-Scale Modeling of Gene Expression Data

Revisiting the Relationship Between Correlation Coefficient, Confidence Level, and Sample Size

Can Conformational Changes of Proteins Be Represented in Torsion Angle Space? A Study with Rescaled Ridge Regression

Docking Ligands into Flexible and Solvated Macromolecules. 3. Impact of Input Ligand Conformation, Protein Flexibility, and Water Molecules on the Accuracy of Docking Programs

Tertiary Element Interaction in HIV-1 TAR

GroScore: Accurate Scoring of Protein-Protein Binding Poses Using Explicit-Solvent Free-Energy Calculations

Steered Molecular Dynamics Simulations Predict Conformational Stability of Glutamate Receptors

Intraresidual Correlated Motions in Peptide Chains