Wiley

Journal Of Molecular Recognition

(ISSN 1099-1352)

Overview

Aims and Scope

Journal of Molecular Recognition (JMR) publishes original research papers and reviews describing substantial advances in our understanding of molecular recognition phenomena in life sciences, covering all aspects from biochemistry, molecular biology, medicine, and biophysics. The research may employ experimental, theoretical and/or computational approaches.

The focus of the journal is on recognition phenomena involving biomolecules and their biological / biochemical partners rather than on the recognition of metal ions or inorganic compounds. Molecular recognition involves non-covalent specific interactions between two or more biological molecules, molecular aggregates, cellular modules or organelles, as exemplified by receptor-ligand, antigen-antibody, nucleic acid-protein, sugar-lectin, to mention just a few of the possible interactions. The journal invites manuscripts that aim to achieve a complete description of molecular recognition mechanisms between well-characterized biomolecules in terms of structure, dynamics and biological activity. Such studies may help the future development of new drugs and vaccines, although the experimental testing of new drugs and vaccines falls outside the scope of the journal. Manuscripts that describe the application of standard approaches and techniques to design or model new molecular entities or to describe interactions between biomolecules, but do not provide new insights into molecular recognition processes will not be considered. Similarly, manuscripts involving biomolecules uncharacterized at the sequence level (e.g. calf thymus DNA) will not be considered.

Typical techniques would include synthesis of topological mimics, site directed mutagenesis or molecular imprinting, together with biophysical methods for the quantitative measurement of molecular interactions. Specific methods such as AFM, Optical Tweezers, SPR, Biosensors and Microcalorimetry, and the range of analytical methods such as NMR, MRI, MS, GC, LC, HPLC, PET, and Crystallography may be used to establish the mechanisms, dynamics and forces of molecular recognition processes. Theoretical and Computational Methods aid the modeling, prediction, simulation and design of molecular recognition processes. Mechanistic understanding at a molecular level can be aided by computational approaches such as molecular electrostatic analysis, molecular dynamics simulations and free energy calculations.

Keywords

molecular recognition, biomolecules, molecular design, biosensors, microcalorimatory, kinetics, protein, nucleic acids, RNA, DNA, amino acid, bio-organic, biophysical, crystallography, cryo-electron microscopy, nuclear magnetic resonance, molecular simulations

Readership

Biochemists and Biophysicsts, Biologists and Medicinal Chemists working in Industry and Academia working in a wide range of areas interested in molecular recognition, such as Receptors, Antigens, Antibodies, Proteins and Peptides, Epitopes, DNA and RNA, Membranes, Vaccines, Drug Development, Docking, Molecular Modelling, Computational Simulations, Dynamic Biological Processes, Molecular Crowding, Systems Biology, Site Directed Mutagenesis and Molecular Imprinting, and applying physical methods such as NMR, MS, HPLC, PET, AFM, SPR, Microcalorimetry and other techniques.

Abstracting and Indexing Information

BIOBASE: Current Awareness in Biological Sciences (Elsevier)

Biochemistry & Biophysics Citation Index (Clarivate Analytics)

Biological Abstracts (Clarivate Analytics)

BIOSIS Previews (Clarivate Analytics)

CAS: Chemical Abstracts Service (ACS)

Chemical Abstracts Service/SciFinder (ACS)

ChemWeb (ChemIndustry.com)

Current Contents: Life Sciences (Clarivate Analytics)

Journal Citation Reports/Science Edition (Clarivate Analytics)

Materials Science & Engineering Database (ProQuest)

MEDLINE/PubMed (NLM)

PubMed Dietary Supplement Subset (NLM)

Science Citation Index (Clarivate Analytics)

Science Citation Index Expanded (Clarivate Analytics)

SciTech Premium Collection (ProQuest)

SCOPUS (Elsevier)

Technology Collection (ProQuest)

Web of Science (Clarivate Analytics)