Molecular recognition, which is the process of biological macromolecules interacting with each other or various small molecules with a high specificity and affinity to form a specific complex, constitutes the basis of all processes in living organisms. Proteins, an important class of biological macromolecules, realize their functions through binding to themselves or other molecules. A detailed understanding of the protein–ligand interactions is therefore central to understanding biology at the molecular level. Moreover, knowledge of the mechanisms responsible for the protein-ligand recognition and binding will also facilitate the discovery, design, and development of drugs. In the present review, first, the physicochemical mechanisms underlying protein–ligand binding, including the binding kinetics, thermodynamic concepts and relationships, and binding driving forces, are introduced and rationalized. Next, three currently existing protein-ligand binding models—the “lock-and-key”, “induced fit”, and “conformational selection”—are described and their underlying thermodynamic mechanisms are discussed. Finally, the methods available for investigating protein–ligand binding affinity, including experimental and theoretical/computational approaches, are introduced, and their advantages, disadvantages, and challenges are discussed.

Nematode-trapping fungi are “carnivorous” and attack their hosts using specialized trapping devices. The morphological development of these traps is the key indicator of their switch from saprophytic to predacious lifestyles. Here, the genome of the nematode-trapping fungus Arthrobotrys oligospora Fres. (ATCC24927) was reported. The genome contains 40.07 Mb assembled sequence with 11,479 predicted genes. Comparative analysis showed that A. oligospora shared many more genes with pathogenic fungi than with non-pathogenic fungi. Specifically, compared to several sequenced ascomycete fungi, the A. oligospora genome has a larger number of pathogenicity-related genes in the subtilisin, cellulase, cellobiohydrolase, and pectinesterase gene families. Searching against the pathogen-host interaction gene database identified 398 homologous genes involved in pathogenicity in other fungi. The analysis of repetitive sequences provided evidence for repeat-induced point mutations in A. oligospora. Proteomic and quantitative PCR (qPCR) analyses revealed that 90 genes were significantly up-regulated at the early stage of trap-formation by nematode extracts and most of these genes were involved in translation, amino acid metabolism, carbohydrate metabolism, cell wall and membrane biogenesis. Based on the combined genomic, proteomic and qPCR data, a model for the formation of nematode trapping device in this fungus was proposed. In this model, multiple fungal signal transduction pathways are activated by its nematode prey to further regulate downstream genes associated with diverse cellular processes such as energy metabolism, biosynthesis of the cell wall and adhesive proteins, cell division, glycerol accumulation and peroxisome biogenesis. This study will facilitate the identification of pathogenicity-related genes and provide a broad foundation for understanding the molecular and evolutionary mechanisms underlying fungi-nematodes interactions.

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Because of the significant industrial, agricultural and biotechnological importance of serine protease proteinase K, it has been extensively investigated using experimental approaches such as X-ray crystallography, site-directed mutagenesis and kinetic measurement. However, detailed aspects of enzymatic mechanism such as substrate binding, release and relevant regulation remain unstudied. Molecular dynamics (MD) simulations of the proteinase K alone and in complex with the peptide substrate AAPA were performed to investigate the effect of substrate binding on the dynamics/molecular motions of proteinase K. The results indicate that during simulations the substrate-complexed proteinase K adopt a more compact and stable conformation than the substrate-free form. Further essential dynamics (ED) analysis reveals that the major internal motions are confined within a subspace of very small dimension. Upon substrate binding, the overall flexibility of the protease is reduced; and the noticeable displacements are observed not only in substrate-binding regions but also in regions opposite the substrate-binding groove/pockets. The dynamic pockets caused by the large concerted motions are proposed to be linked to the substrate recognition, binding, orientation and product release; and the significant displacements in regions opposite the binding groove/pockets are considered to play a role in modulating the dynamics of enzymesubstrate interaction. Our simulation results complement the biochemical and structural studies, highlighting the dynamic mechanism of the functional properties of proteinase K.