scholarly journals Domains III and I-2α, at the Entrance of the Binding Cleft, Play an Important Role in Cold Adaptation of the Periplasmic Dipeptide-Binding Protein (DppA) from the Deep-Sea Psychrophilic Bacterium Pseudoalteromonas sp. Strain SM9913

2010 ◽  
Vol 76 (13) ◽  
pp. 4354-4361 ◽  
Author(s):  
Wei-Xin Zhang ◽  
Bin-Bin Xie ◽  
Xiu-Lan Chen ◽  
Sheng Dong ◽  
Xi-Ying Zhang ◽  
...  
Keyword(s):  
Ligand Binding ◽  
Binding Affinity ◽  
Cold Adaptation ◽  
Binding Protein ◽  
Structural Instability ◽  
Peptide Transporter ◽  
Psychrophilic Bacterium ◽  
Binding Cleft ◽  
Domain Iii ◽  
Domain I

ABSTRACT The peptide transporter from a cold-adapted bacterium has never been reported. In the present study, the dpp operon from the psychrophilic bacterium Pseudoalteromonas sp. strain SM9913 was cloned and analyzed. The dipeptide binding protein DppA of SM9913 was overexpressed in Escherichia coli, and its cold adaptation characteristics were studied. The recombinant DppA of SM9913 (PsDppA) displayed the highest ligand-binding affinity at 15°C, whereas the recombinant DppA of E. coli (EcDppA) displayed the highest ligand-binding affinity at 35°C. Thermal and guanidium hydrochloride unfolding analyses indicated that PsDppA has more structural instability than EcDppA. Six domain-exchanged mutants of PsDppA were expressed and purified. Analyses of these mutants indicated that domains III, I-2, and I-3 of PsDppA were less stable than those from EcDppA and that domains III and I-2 made a significant contribution to the high binding affinity of PsDppA at low temperatures. Structural and sequence analyses suggested that the state transition-involved regions in domain III and the α part of domain I-2 are the hot spots of optimization during cold adaptation and that decreasing the side-chain size in these regions is an important strategy for the cold adaptation of PsDppA.

scholarly journals Noncontiguous regions in the extracellular domain of EGF receptor define ligand-binding specificity.

1991 ◽  
Vol 2 (5) ◽  
pp. 337-345 ◽  
Author(s):  
I Lax ◽  
R Fischer ◽  
C Ng ◽  
J Segre ◽  
A Ullrich ◽  
...  
Keyword(s):  
Binding Energy ◽  
Ligand Binding ◽  
Binding Site ◽  
Binding Affinity ◽  
Egf Receptor ◽  
Binding Properties ◽  
Amino Terminal ◽  
High Affinity ◽  
Domain Iii ◽  
Domain I

Murine epidermal growth factor (EGF) binds with approximately 250-fold higher binding affinity to the human EGF receptor (EGFR) than to the chicken EGFR. This difference in binding affinity enabled the identification of a major ligand-binding domain for EGF by studying the binding properties of various chicken/human EGFR chimera expressed in transfected cells lacking endogenous EGFR. It was shown that domain III of EGFR is a major ligand-binding region. Here, we analyze the binding properties of novel chicken/human chimera to further delineate the contact sequences in domain III and to assess the role of other regions of EGFR for their contribution to the display of high-affinity EGF binding. The chimeric receptors include chicken EGFR containing domain I of the human EGFR, chicken receptor containing domain I and III of the human EGFR, and two chimeric chicken EGFR containing either the amino terminal or the carboxy terminal halves of domain III of human EGFR, respectively. In addition, the binding of various human-specific anti-EGFR monoclonal antibodies that interfere with EGF binding is also compared. It is concluded that noncontiguous regions of the EGFR contribute additively to the binding of EGF. Each of the two halves of domain III has a similar contribution to the binding energy, and the sum of both is close to that of the entire domain III. This suggests that the folding of domain III juxtaposes sequences that together constitute the ligand-binding site. Domain I also provides a contribution to the binding energy, and the added contributions of both domain I and III to the binding energy generate the high-affinity binding site typical of human EGFR.

Binding of Radiolabeled Folate and 5-Methyltetrahydrofolate to Cow's Milk Folate Binding Protein at pH 7.4 and 5.0. Relationship to Concentration and Polymerization Equilibrium of the Purified Protein

2001 ◽  
Vol 21 (6) ◽  
pp. 733-743 ◽  
Author(s):  
Jan Holm ◽  
Steen Ingemann Hansen
Keyword(s):  
Ligand Binding ◽  
Binding Affinity ◽  
Conformational Changes ◽  
Protein Conformation ◽  
Binding Protein ◽  
Cow’S Milk ◽  
Folate Binding Protein ◽  
Cow's Milk ◽  
Polymerization Equilibrium ◽  
Methyl Tetrahydrofolate

Binding of folate (pteroylglutamate) and 5-methyltetrahydrofolate, the major endogenous form of folate, to folate binding protein purified from cow's milk was studied at 7°C to avoid degradation of 5-methyltetrahydrofolate. Both folates dissociate rapidly from the protein at pH 3.5, but extremely slowly at pH 7.4, most likely due to drastic changes in protein conformation occurring after folate binding. Dissociation of 5-methyltetrahydrofolate showed no increase at 37°C suggesting that protein-bound-5-methyltetrahydrofolate is protected against degradation. Binding displayed two characteristics, positive cooperativity and a binding affinity that increased with decreasing concentrations of the protein. The binding affinity of folate was somewhat greater than that of 5-methyl tetrahydrofolate, in particular at pH 5.0. Ligand-bound protein exhibited concentration-dependent polymerization (8-mers formed at 13 μM) at pH 7.4. At pH 5.0, only folate-bound forms showed noticeable polymerization. The fact that folate at pH 5.0 surpasses 5-methyltetrahydrofolate both with regard to binding affinity and ability to induce polymerization suggests that ligand binding is associated with conformational changes of the protein which favor polymerization.

scholarly journals A Benchmark of Popular Free Energy Approaches Revealing the Inhibitors Binding to SARS-CoV2 Mpro

2020 ◽  
Author(s):  
Son Tung Ngo ◽  
Nguyen Minh Tam ◽  
Pham Minh Quan ◽  
Trung Hai Nguyen
Keyword(s):  
Free Energy ◽  
Ligand Binding ◽  
Binding Affinity ◽  
Drug Target ◽  
Binding Free Energy ◽  
Essential Elements ◽  
Dominant Factor ◽  
Linear Interaction ◽  
Energy Perturbation ◽  
Binding Cleft

COVID-19 pandemic has killed millions of people worldwide since its outbreak in Dec 2019. The pandemic is caused by the SARS-CoV-2 virus whose main protease (Mpro) is a promising drug target since it plays a key role in viral proliferation and replication. Currently, designing an effective therapy is an urgent task, which requires accurately estimating ligand-binding free energy to the SARS-CoV-2 Mpro. However, it should be noted that the accuracy of a free energy method probably depends on the protein target. A highly accurate approach for some targets may fail to produce a reasonable correlation with experiment when a novel enzyme is considered as a drug target. Therefore, in this context, the ligand-binding affinity to SARS-CoV-2 Mpro was calculated via various approaches. The Autodock Vina (Vina) and Autodock4 (AD4) packages were manipulated to preliminary investigate the ligand-binding affinity and pose to the SARS-CoV-2 Mpro. The binding free energy was then refined using the fast pulling of ligand (FPL), linear interaction energy (LIE), molecular mechanics-Poission Boltzmann surface area (MM-PBSA), and free energy perturbation (FEP) methods. The benchmark results indicated that for docking calculations, Vina is more accurate than AD4 and for free energy methods, FEP is the most accurate followed by LIE, FPL and MM-PBSA (FEP > LIE > FPL > MM-PBSA). Moreover, the binding mechanism was also revealed by atomistic simulations. The vdW interaction is the dominant factor. The residues <i>Thr25</i>, <i>Thr26</i>, <i>His41</i>, <i>Ser46</i>, <i>Asn142</i>, <i>Gly143</i>, <i>Cys145</i>, <i>Glu166</i>, and <i>Gln189</i> are essential elements affecting on the binding process. Furthermore, the <i>Ser46</i> and related residues probably are important elements affecting the enlarge/dwindle of the SARS-CoV-2 Mpro binding cleft. The benchmark probably guide for further investigations using computational approaches.

Characteristics of high-affinity folate binding in human leukocytes.

1983 ◽  
Vol 29 (5) ◽  
pp. 869-870 ◽  
Author(s):  
J Holm ◽  
S I Hansen ◽  
J Lyngbye
Keyword(s):  
Ligand Binding ◽  
Binding Affinity ◽  
Binding Protein ◽  
Equilibrium Dialysis ◽  
Normal Subjects ◽  
Affinity Binding ◽  
High Affinity Binding ◽  
Human Leukocytes ◽  
High Affinity ◽  
Positive Cooperativity

Abstract High-affinity binding of [3H]folate in leukocytes from normal subjects was studied in equilibrium dialysis experiments (pH 7.4, 37 degrees C). Binding displayed positive cooperativity, and the binding affinity increased with decreasing concentration of the binding protein. Both phenomena could be interpreted in terms of ligand binding to a polymerizing system where the affinity of ligand for the oligomer is greater than its affinity for the polymer prevailing at higher concentrations of the binding protein.

scholarly journals Characterization of ligand binding to acyl-CoA-binding protein

1993 ◽  
Vol 290 (2) ◽  
pp. 321-326 ◽  
Author(s):  
J Rosendal ◽  
P Ertbjerg ◽  
J Knudsen
Keyword(s):  
Ligand Binding ◽  
Binding Affinity ◽  
Intracellular Transport ◽  
Binding Protein ◽  
Acyl Chain ◽  
Head Group ◽  
Binding Studies ◽  
Competition Binding ◽  
Chain Acyl ◽  
Sepharose 4B

Ligand binding to recombinant bovine acyl-CoA-binding protein (rACBP) was examined using a Lipidex 1000 competition assay and an e.p.r. spectroscopy displacement assay. Of all putative ligands tested, rACBP exhibited a high binding affinity only for acyl-CoA esters. No alternative ligands could be found in rat liver fractions purified on an affinity of column on which ACBP was coupled to Sepharose 4B. E.p.r. data indicate that both the acyl chain and the CoA head group of acyl-CoA are involved in binding and that the 3′-phosphate group on the ribose moiety of acyl-CoA esters plays a crucial role in the binding of acyl-CoA to ACBP. E.p.r. competition binding studies show that the binding affinity of acyl-CoA esters for rACBP is strongly dependent on the length of the acyl chain with a clear preference for acyl-CoA esters with 14-22 carbon atoms in the acyl chain. No correlation between the number of double bonds in the acyl chain and the binding affinity was observed. The experimental results strongly indicate that ACBP specifically binds long-chain acyl-CoA esters with a very high affinity, results that indicate that ACBP is likely to be involved in the intracellular transport and pool formation of these compounds.

Automated, Accurate, and Scalable Relative Protein-Ligand Binding Free Energy Calculations using Lambda Dynamics

2020 ◽  
Author(s):  
E. Prabhu Raman ◽  
Thomas J. Paul ◽  
Ryan L. Hayes ◽  
Charles L. Brooks III
Keyword(s):  
Free Energy ◽  
Ligand Binding ◽  
Binding Affinity ◽  
Binding Free Energy ◽  
Computational Cost ◽  
Combinatorial Libraries ◽  
Free Energy Calculations ◽  
Lead Optimization ◽  
Efficient Estimation ◽  
Lead Compound

<p>Accurate predictions of changes to protein-ligand binding affinity in response to chemical modifications are of utility in small molecule lead optimization. Relative free energy perturbation (FEP) approaches are one of the most widely utilized for this goal, but involve significant computational cost, thus limiting their application to small sets of compounds. Lambda dynamics, also rigorously based on the principles of statistical mechanics, provides a more efficient alternative. In this paper, we describe the development of a workflow to setup, execute, and analyze Multi-Site Lambda Dynamics (MSLD) calculations run on GPUs with CHARMm implemented in BIOVIA Discovery Studio and Pipeline Pilot. The workflow establishes a framework for setting up simulation systems for exploratory screening of modifications to a lead compound, enabling the calculation of relative binding affinities of combinatorial libraries. To validate the workflow, a diverse dataset of congeneric ligands for seven proteins with experimental binding affinity data is examined. A protocol to automatically tailor fit biasing potentials iteratively to flatten the free energy landscape of any MSLD system is developed that enhances sampling and allows for efficient estimation of free energy differences. The protocol is first validated on a large number of ligand subsets that model diverse substituents, which shows accurate and reliable performance. The scalability of the workflow is also tested to screen more than a hundred ligands modeled in a single system, which also resulted in accurate predictions. With a cumulative sampling time of 150ns or less, the method results in average unsigned errors of under 1 kcal/mol in most cases for both small and large combinatorial libraries. For the multi-site systems examined, the method is estimated to be more than an order of magnitude more efficient than contemporary FEP applications. The results thus demonstrate the utility of the presented MSLD workflow to efficiently screen combinatorial libraries and explore chemical space around a lead compound, and thus are of utility in lead optimization.</p>

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