Long-range structural and dynamical changes induced by cofactor binding in DNA methyltransferase M.HhaI

The bacterial DNA cytosine methyltransferase M.HhaI sequence-specifically modifies DNA in an S-adenosylmethionine dependent reaction. The enzyme stabilizes the target cytosine (GCGC) into an extrahelical position, with a concomitant large movement of an active site loop involving residues 80-99. We used multidimensional, transverse relaxation-optimized NMR experiments to assign nearly 80% of all residues in the cofactor-bound enzyme form, providing a basis for detailed structural and dynamical characterization. We examined details of the previously unknown effects of the cofactor binding with M.HhaI in solution. Addition of the cofactor results in numerous structural changes throughout the protein, including those decorating the cofactor binding site, and distal residues more than 30 A away. The active site loop is involved in motions both on a picosecond to nanosecond time scale and on a microsecond to millisecond time scale and is not significantly affected by cofactor binding except for a few N-terminal residues. The cofactor also affects residues near the DNA binding cleft, suggesting a role for the cofactor in regulating DNA interactions. The allosteric properties we observed appear to be closely related to the significant amount of dynamics and dynamical changes in response to ligand binding detected in the protein.     

Predicting structural effects in HIV-1 protease mutant complexes with flexible ligand docking and protein side-chain optimization

We present a computational approach for predicting structures of ligand-protein complexes and analyzing binding energy landscapes that combines Monte Carlo simulated annealing technique to determine the ligand bound conformation with the dead-end elimination algorithm for side-chain optimization of the protein active site residues. Flexible ligand docking and optimization of mobile protein side-chains have been performed to predict structural effects in the V32I/I47V/V82I HIV-1 protease mutant bound with the SB203386 ligand and in the V82A HIV-1 protease mutant bound with the A77003 ligand. The computational structure predictions are consistent with the crystal structures of these ligand-protein complexes. The emerging relationships between ligand docking and side-chain optimization of the active site residues are rationalized based on the analysis of the ligand-protein binding energy landscape. Proteins 33:295–310, 1998. © 1998 Wiley-Liss, Inc.     

Stability of Ligand-induced Protein Conformation Influences Affinity in Maltose-binding Protein

Our understanding of what determines ligand affinity of proteins is poor, even with high-resolution structures available. Both the non-covalent ligand–protein interactions and the relative free energies of available conformations contribute to the affinity of a protein for a ligand. Distant, non-binding site residues can influence the ligand affinity by altering the free energy difference between a ligand-free and ligand-bound conformation. Our hypothesis is that when different ligands induce distinct ligand-bound conformations, it should be possible to tweak their affinities by changing the free energies of the available conformations. We tested this idea for the maltose-binding protein (MBP) from Escherichia coli. We used single-molecule Förster resonance energy transfer (smFRET) to distinguish several unique ligand-bound conformations of MBP. We engineered mutations, distant from the binding site, to affect the stabilities of different ligand-bound conformations. We show that ligand affinity can indeed be altered in a conformation-dependent manner. Our studies provide a framework for the tuning of ligand affinity, apart from modifying binding site residues.     

Mechanisms for allosteric activation of protease DegS by ligand binding and oligomerization as revealed from molecular dynamics simulations

A local perturbation of a protein may lead to functional changes at some distal site, a phenomenon denoted as allostery. Here, we study the allosteric control of a protease using molecular dynamics simulations. The system considered is the bacterial protein DegS which includes a protease domain activated on ligand binding to an adjacent PDZ domain. Starting from crystallographic structures of DegS homo‐trimers, we perform simulations of the ligand‐free and ‐bound state of DegS at equilibrium. Considering a single protomer only, the trimeric state was mimicked by applying restraints on the residues in contact with other protomers in the DegS trimer. In addition, the bound state was also simulated without any restraints to mimic the monomer. Our results suggest that not only ligand release but also disassembly of a DegS trimer inhibits proteolytic activity. Considering various observables for structural changes, we infer allosteric pathways from the interface with other protomers to the active site. Moreover, we study how ligand release leads to (i) catalytically relevant changes involving residues 199–201 and (ii) a transition from a stretched to a bent conformation for residues 217–219 (which prohibits proper substrate binding). Finally, based on ligand‐induced C_α shifts we identify residues in contact with other protomers in the DegS trimer that likely transduce the perturbation from ligand release from a given protomer to adjacent protomers. These residues likely play a key role in the experimentally known effect of ligand release from a protomer on the proteolytic activity of the other protomers. Proteins 2016; 84:1690–1705. © 2016 Wiley Periodicals, Inc.     

Validation of an Allosteric Binding Site of Src Kinase Identified by Unbiased Ligand Binding Simulations

Allostery plays a primary role in regulating protein activity, making it an important mechanism in human disease and drug discovery. Identifying allosteric regulatory sites to explore their biological significance and therapeutic potential is invaluable to drug discovery; however, identification remains a challenge. Allosteric sites are often “cryptic” without clear geometric or chemical features. Since allosteric regulatory sites are often less conserved in protein kinases than the orthosteric ATP binding site, allosteric ligands are commonly more specific than ATP competitive inhibitors. We present a generalizable computational protocol to predict allosteric ligand binding sites based on unbiased ligand binding simulation trajectories. We demonstrate the feasibility of this protocol by revisiting our previously published ligand binding simulations using the first identified viral proto-oncogene, Src kinase, as a model system. The binding paths for kinase inhibitor PP1 uncovered three metastable intermediate states before binding the high-affinity ATP-binding pocket, revealing two previously known allosteric sites and one novel site. Herein, we validate the novel site using a combination of virtual screening and experimental assays to identify a V-type allosteric small-molecule inhibitor that targets this novel site with specificity for Src over closely related kinases. This study provides a proof-of-concept for employing unbiased ligand binding simulations to identify cryptic allosteric binding sites and is widely applicable to other protein–ligand systems.     

The interplay between effector binding and allostery in an engineered protein switch

The protein design rules for engineering allosteric regulation are not well understood. A fundamental understanding of the determinants of ligand binding in an allosteric context could facilitate the design and construction of versatile protein switches and biosensors. Here, we conducted extensive in vitro and in vivo characterization of the effects of 285 unique point mutations at 15 residues in the maltose‐binding pocket of the maltose‐activated β‐lactamase MBP317‐347. MBP317‐347 is an allosteric enzyme formed by the insertion of TEM‐1 β‐lactamase into the E. coli maltose binding protein (MBP). We find that the maltose‐dependent resistance to ampicillin conferred to the cells by the MBP317‐347 switch gene (the switch phenotype) is very robust to mutations, with most mutations slightly improving the switch phenotype. We identified 15 mutations that improved switch performance from twofold to 22‐fold, primarily by decreasing the catalytic activity in the absence of maltose, perhaps by disrupting interactions that cause a small fraction of MBP in solution to exist in a partially closed state in the absence of maltose. Other notable mutations include K15D and K15H that increased maltose affinity 30‐fold and Y155K and Y155R that compromised switching by diminishing the ability of maltose to increase catalytic activity. The data also provided insights into normal MBP physiology, as select mutations at D14, W62, and F156 retained high maltose affinity but abolished the switch's ability to substitute for MBP in the transport of maltose into the cell. The results reveal the complex relationship between ligand binding and allostery in this engineered switch.     

Quantum mechanical analysis of oxygenated and deoxygenated states of hemocyanin: theoretical clues for a plausible allosteric model of oxygen binding.

Abstract: In this work with ab initio computations, we describe relevant interactions between protein active sites and ligands, using as a test case arthropod hemocyanins. A computational analysis of models corresponding to the oxygenated and deoxygenated forms of the hemocyanin active site is performed using the Density Functional Theory approach. We characterize the electron density distribution of the binding site with and without bound oxygen in relation to the geometry, which stems out of the crystals of three hemocyanin proteins, namely the oxygenated form from the horseshoe crab Limulus polyphemus, and the deoxygenated forms, respectively, from the same source and from another arthropod, the spiny lobster Panulirus interruptus. Comparison of the three available crystals indicate structural differences at the oxygen binding site, which cannot be explained only by the presence and absence of the oxygen ligand, since the geometry of the ligand site of the deoxygenated Panulirus hemocyanin is rather similar to that of the oxygenated Limulus protein. This finding was interpreted in the frame of a mechanism of allosteric regulation for oxygen binding. However, the cooperative mechanism, which is experimentally well documented, is only partially supported by crystallographic data, since no oxygenated crystal of Panulirus hemocyanin is presently available. We address the following question: is the local ligand geometry responsible for the difference of the dicopper distance observed in the two deoxygenated forms of hemocyanin or is it necessary to advocate the allosteric regulation of the active site conformations in order to reconcile the different crystal forms? We find that the difference of the dicopper distance between the two deoxygenated hemocyanins is not due to the small differences of ligand geometry found in the crystals and conclude that it must be therefore stabilized by the whole protein tertiary structure.     

Allosteric sites can be identified based on the residue–residue interaction energy difference

Allosteric drugs act at a distance to regulate protein functions. They have several advantages over conventional orthosteric drugs, including diverse regulation types and fewer side effects. However, the rational design of allosteric ligands remains a challenge, especially when it comes to the identification allosteric binding sites. As the binding of allosteric ligands may induce changes in the pattern of residue–residue interactions, we calculated the residue–residue interaction energies within the allosteric site based on the molecular mechanics generalized Born surface area energy decomposition scheme. Using a dataset of 17 allosteric proteins with structural data for both the apo and the ligand‐bound state available, we used conformational ensembles generated by molecular dynamics simulations to compute the differences in the residue–residue interaction energies in known allosteric sites from both states. For all the known sites, distinct interaction energy differences (>25%) were observed. We then used CAVITY, a binding site detection program to identify novel putative allosteric sites in the same proteins. This yielded a total of 31 “druggable binding sites,” of which 21 exhibited >25% difference in residue interaction energies, and were hence predicted as novel allosteric sites. Three of the predicted allosteric sites were supported by recent experimental studies. All the predicted sites may serve as novel allosteric sites for allosteric ligand design. Our study provides a computational method for identifying novel allosteric sites for allosteric drug design. Proteins 2015; 83:1375–1384. © 2014 Wiley Periodicals, Inc.     

In vitro mutagenesis of Escherichia coli citrate synthase to clarify the locations of ligand binding sites

In vitro mutagenesis techniques have been used to investigate two structure-function questions relating to the allosteric citrate synthase of Escherichia coli. The first question concerns the binding site of alpha-keto-glutarate, which is a structural analogue of the substrate oxaloacetate and yet has been suggested to be an allosteric inhibitor of the enzyme. Using oligonucleotide-directed mutagenesis of the cloned E. coli citrate synthase gene, we prepared missense mutants, designated CS226H----Q and CS229H----Q, in which histidine residues at positions 226 and 229, respectively, were replaced by glutamine. In the homologous pig heart citrate synthase it is known (Wiegand, G., and Remington, S. J. (1986) Annu. Rev. Biophys. Biophys. Chem. 15, 97-117) that the equivalent of His-229 helps to bind oxaloacetate, while the equivalent of His-226 is nearby. Kinetic and ligand binding measurements showed that CS226H----Q had a reduced affinity for oxaloacetate and alpha-ketoglutarate, while CS229H----Q bound oxaloacetate even less effectively, and was not inhibited by alpha-ketoglutarate at all under our conditions. This parallel loss of binding affinities for oxaloacetate and alpha-ketoglutarate, in two mutants altered in residues at the active site of E. coli citrate synthase, strongly suggests that inhibition of this enzyme by alpha-ketoglutarate is not allosteric but occurs by competitive inhibition at the active site. The second question investigated was whether the known inhibition by acetyl-CoA of binding of NADH, an allosteric inhibitor of E. coli citrate synthase, occurs heterotropically, as an indirect result of acetyl-CoA binding at the active site, or directly, by competition at the allosteric NADH binding site. Using existing restriction sites in the cloned E. coli citrate synthase gene, we prepared a deletion mutant which lacked 24 amino acids near what is predicted to the acetyl-CoA-binding portion of the active site. The mutant protein was inactive, and acetyl-CoA did not bind to the active site but still inhibited NADH binding. Thus acetyl-CoA can interact with both the allosteric and the active sites of this enzyme.     

Computation of Conformational Coupling in Allosteric Proteins

In allosteric regulation, an effector molecule binding a protein at one site induces conformational changes, which alter structure and function at a distant active site. Two key challenges in the computational modeling of allostery are the prediction of the structure of one allosteric state starting from the structure of the other, and elucidating the mechanisms underlying the conformational coupling of the effector and active sites. Here we approach these two challenges using the Rosetta high-resolution structure prediction methodology. We find that the method can recapitulate the relaxation of effector-bound forms of single domain allosteric proteins into the corresponding ligand-free states, particularly when sampling is focused on regions known to change conformation most significantly. Analysis of the coupling between contacting pairs of residues in large ensembles of conformations spread throughout the landscape between and around the two allosteric states suggests that the transitions are built up from blocks of tightly coupled interacting sets of residues that are more loosely coupled to one another.     

Correlating allostery with rigidity

Allosteric proteins demonstrate the phenomenon of a ligand binding to a protein at a regulatory or effector site and thereby changing the chemical affinity of the catalytic site. As such, allostery is extremely important biologically as a regulatory mechanism for molecular concentrations in many cellular processes. One particularly interesting feature of allostery is that often the catalytic and effector sites are separated by a large distance. Structural comparisons of allosteric proteins resolved in both inactive and active states indicate that a variety of structural rearrangement and changes in motions may contribute to general allosteric behavior. In general it is expected that the coupling of catalytic and regulatory sites is responsible for allosteric behavior. We utilize a novel examination of allostery using rigidity analysis of the underlying graph of the protein structures. Our results indicate a general global change in rigidity associated with allosteric transitions where the R state is more rigid than the T state. A set of allosteric proteins with heterotropic interactions is used to test the hypothesis that catalytic and effector sites are structurally coupled. Observation of a rigid path connecting the effector and catalytic sites in 68.75% of the structures points to rigidity as a means by which the distal sites communicate with each other and so contribute to allosteric regulation. Thus structural rigidity is shown to be a fundamental underlying property that promotes cooperativity and non-locality seen in allostery.     

The proform of the eosinophil major basic protein binds the cell surface through a site distinct from its C-type lectin ligand-binding region

The highly basic eosinophil major basic protein (MBP), present in the crystalloid core of eosinophil leukocyte granules, has both cytotoxic and cytostimulatory properties and is directly implicated in a number of diseases. The crystal structure of MBP resembles that of the C-type lectin (CTL) superfamily, and recent data showed that MBP binds heparan sulfate glycosaminoglycan (GAG), with the CTL ligand-binding region as the binding site. MBP is synthesized as a proform (pro-MBP) containing an acidic propiece believed to neutralize the basic MBP domain. Using flow cytometry and site-directed mutagenesis, we demonstrate here that the MBP domain of pro-MBP binds to heparan sulfate GAG on the cell surface and that this is independent of GAG covalently bound to pro-MBP. Eight basic residues located in the CTL ligand-binding region of MBP were hypothesized previously to mediate GAG binding, but we found that surface binding was not compromised by the substitution of these residues with alanine. However, the analysis of a series of mutants with surface-exposed residues substituted with alanine showed that Ser-166, Arg-168, and Arg-171 are involved in surface binding. A binding site formed by these residues is located in the MBP domain between loop 1 and beta-strand 5, outside the CTL ligand-binding region. The binding of a cell-surface heparan sulfate proteoglycan may be important in MBP action, and our findings suggest that two regions shown previously to contain the cytotoxic and cytostimulatory properties of MBP are accessible for ligand interaction in cell surface-bound MBP.     

Analysis of binding site hot spots on the surface of Ras GTPase

We have recently discovered an allosteric switch in Ras, bringing an additional level of complexity to this GTPase whose mutants are involved in nearly 30% of cancers. Upon activation of the allosteric switch, there is a shift in helix 3/loop 7 associated with a disorder to order transition in the active site. Here, we use a combination of multiple solvent crystal structures and computational solvent mapping (FTMap) to determine binding site hot spots in the “off” and “on” allosteric states of the GTP-bound form of H-Ras. Thirteen sites are revealed, expanding possible target sites for ligand binding well beyond the active site. Comparison of FTMaps for the H and K isoforms reveals essentially identical hot spots. Furthermore, using NMR measurements of spin relaxation, we determined that K-Ras exhibits global conformational dynamics very similar to those we previously reported for H-Ras. We thus hypothesize that the global conformational rearrangement serves as a mechanism for allosteric coupling between the effector interface and remote hot spots in all Ras isoforms. At least with respect to the binding sites involving the G domain, H-Ras is an excellent model for K-Ras and probably N-Ras as well. Ras has so far been elusive as a target for drug design. The present work identifies various unexplored hot spots throughout the entire surface of Ras, extending the focus from the disordered active site to well-ordered locations that should be easier to target.     

Insights into the conformational equilibria of maltose-binding protein by analysis of high affinity mutants

The affinity of maltose-binding protein (MBP) for maltose and related carbohydrates was greatly increased by removal of groups in the interface opposite the ligand binding cleft. The wild-type protein has a KD of 1200 nM for maltose; mutation of residues Met-321 and Gln-325, both to alanine, resulted in a KD for maltose of 70 nM; deletion of 4 residues, Glu-172, Asn-173, Lys-175, and Tyr-176, which are part of a poorly ordered loop, results in a KD for maltose of 110 nM. Combining the mutations yields an increased affinity for maltodextrins and a KD of 6 nM for maltotriose. Comparison of ligand binding by the mutants, using surface plasmon resonance spectroscopy, indicates that decreases in the off-rate are responsible for the increased affinity. Small-angle x-ray scattering was used to demonstrate that the mutations do not significantly affect the solution conformation of MBP in either the presence or absence of maltose. The crystal structures of selected mutants showed that the mutations do not cause significant structural changes in either the closed or open conformation of MBP. These studies show that interactions in the interface opposite the ligand binding cleft, which we term the "balancing interface," are responsible for modulating the affinity of MBP for its ligand. Our results are consistent with a model in which the ligand-bound protein alternates between the closed and open conformations, and removal of interactions in the balancing interface decreases the stability of the open conformation, without affecting the closed conformation.     

IIAGlc inhibition of glycerol kinase: a communications network tunes protein motions at the allosteric site

Steady-state and time-resolved fluorescence anisotropy methods applied to an extrinsic fluorophore that is conjugated to non-native cysteine residues demonstrate that amino acids in an allosteric communication network within a protein subunit tune protein backbone motions at a distal site to enable allosteric binding and inhibition. The unphosphorylated form of the phosphocarrier protein IIAGlc is an allosteric inhibitor of Escherichia coli glycerol kinase, binding more than 25 A from the kinase active site. Crystal structures that showed a ligand-dependent conformational change and large temperature factors for the IIAGlc-binding site on E. coli glycerol kinase suggest that motions of the allosteric site have an important role in the inhibition. Three E. coli glycerol kinase amino acids that are located at least 15 A from the active site and the allosteric site were shown previously to be necessary for transplanting IIAGlc inhibition into the nonallosteric glycerol kinase from Haemophilus influenzae. These three amino acids are termed the coupling locus. The apparent allosteric site motions and the requirement for the distant coupling locus to transplant allosteric inhibition suggest that the coupling locus modulates the motions of the IIAGlc-binding site. To evaluate this possibility, variants of E. coli glycerol kinase and the chimeric, allosteric H. influenzae glycerol kinase were constructed with a non-native cysteine residue replacing one of the native residues in the IIAGlc-binding site. The extrinsic fluorophore Oregon Green 488 (2',7'-difluorofluorescein) was conjugated specifically to the non-native cysteine residue. Steady-state and time-resolved fluorescence anisotropy measurements show that the motions of the fluorophore reflect backbone motions of the IIAGlc-binding site and these motions are modulated by the amino acids at the coupling locus.     

Closed conformation of the active site loop of rabbit muscle triosephosphate isomerase in the absence of substrate: evidence of conformational heterogeneity

The active site loop of triosephosphate isomerase (TIM) exhibits a hinged-lid motion, alternating between the two well defined "open" and "closed" conformations. Until now the closed conformation had only been observed in protein complexes with substrate analogues. Here, we present the first rabbit muscle apo TIM structure, refined to 1.5A resolution, in which the active site loop is either in the open or in the closed conformation in different subunits of the enzyme. In the closed conformation described here, the lid loop residues participate in stabilizing hydrogen bonds characteristic of holo TIM structures, whereas chemical interactions observed in the open loop conformation are similar to those found in the apo structures of TIM. In the closed conformation, a number of water molecules are observed at the projected ligand atom positions that are hydrogen bonded to the active site residues. Additives used during crystallization (DMSO and Tris molecules and magnesium atoms) were modeled in the electron density maps. However, no specific binding of these molecules is observed at, or close to, the active site and the lid loop. To further investigate this unusual closed conformation of the apo enzyme, two more rabbit muscle TIM structures, one in the same and another in a different crystal form, were determined. These structures present the open lid conformation only, indicating that the closed conformation cannot be explained by crystal contact effects. To rationalize why the active site loop is closed in the absence of ligand in one of the subunits, extensive comparison with previously solved TIM structures was carried out, supported by the bulk of available experimental information about enzyme kinetics and reaction mechanism of TIM. The observation of both open and closed lid conformations in TIM crystals might be related to a persistent conformational heterogeneity of this protein in solution.     

Protein Conformational Changes Are Detected and Resolved Site Specifically by Second-Harmonic Generation

We present here a straightforward, broadly applicable technique for real-time detection and measurement of protein conformational changes in solution. This method is based on tethering proteins labeled with a second-harmonic generation (SHG) active dye to supported lipid bilayers. We demonstrate our method by measuring the conformational changes that occur upon ligand binding with three well-characterized proteins labeled at lysine residues: calmodulin (CaM), maltose-binding protein (MBP), and dihydrofolate reductase (DHFR). We also create a single-site cysteine mutant of DHFR engineered within the Met20 catalytic loop region and study the protein’s structural motion at this site. Using published x-ray crystal structures, we show that the changes in the SHG signals upon ligand binding are the result of structural motions that occur at the labeled sites between the apo and ligand-bound forms of the proteins, which are easily distinguished from each other. In addition, we demonstrate that different magnitudes of the SHG signal changes are due to different and specific ligand-induced conformational changes. Taken together, these data illustrate the potential of the SHG approach for detecting and measuring protein conformational changes for a wide range of biological applications.     

Using affinity chromatography to engineer and characterize pH‐dependent protein switches

Conformational changes play important roles in the regulation of many enzymatic reactions. Specific motions of side chains, secondary structures, or entire protein domains facilitate the precise control of substrate selection, binding, and catalysis. Likewise, the engineering of allostery into proteins is envisioned to enable unprecedented control of chemical reactions and molecular assembly processes. We here study the structural effects of engineered ionizable residues in the core of the glutathione‐S‐transferase to convert this protein into a pH‐dependent allosteric protein. The underlying rational of these substitutions is that in the neutral state, an uncharged residue is compatible with the hydrophobic environment. In the charged state, however, the residue will invoke unfavorable interactions, which are likely to induce conformational changes that will affect the function of the enzyme. To test this hypothesis, we have engineered a single aspartate, cysteine, or histidine residue at a distance from the active site into the protein. All of the mutations exhibit a dramatic effect on the protein's affinity to bind glutathione. Whereas the aspartate or histidine mutations result in permanently nonbinding or binding versions of the protein, respectively, mutant GST50C exhibits distinct pH‐dependent GSH‐binding affinity. The crystal structures of the mutant protein GST50C under ionizing and nonionizing conditions reveal the recruitment of water molecules into the hydrophobic core to produce conformational changes that influence the protein's active site. The methodology described here to create and characterize engineered allosteric proteins through affinity chromatography may lead to a general approach to engineer effector‐specific allostery into a protein structure.     

Molecular Determinants Underlying Binding Specificities of the ABL Kinase Inhibitors: Combining Alanine Scanning of Binding Hot Spots with Network Analysis of Residue Interactions and Coevolution

Quantifying binding specificity and drug resistance of protein kinase inhibitors is of fundamental importance and remains highly challenging due to complex interplay of structural and thermodynamic factors. In this work, molecular simulations and computational alanine scanning are combined with the network-based approaches to characterize molecular determinants underlying binding specificities of the ABL kinase inhibitors. The proposed theoretical framework unveiled a relationship between ligand binding and inhibitor-mediated changes in the residue interaction networks. By using topological parameters, we have described the organization of the residue interaction networks and networks of coevolving residues in the ABL kinase structures. This analysis has shown that functionally critical regulatory residues can simultaneously embody strong coevolutionary signal and high network centrality with a propensity to be energetic hot spots for drug binding. We have found that selective (Nilotinib) and promiscuous (Bosutinib, Dasatinib) kinase inhibitors can use their energetic hot spots to differentially modulate stability of the residue interaction networks, thus inhibiting or promoting conformational equilibrium between inactive and active states. According to our results, Nilotinib binding may induce a significant network-bridging effect and enhance centrality of the hot spot residues that stabilize structural environment favored by the specific kinase form. In contrast, Bosutinib and Dasatinib can incur modest changes in the residue interaction network in which ligand binding is primarily coupled only with the identity of the gate-keeper residue. These factors may promote structural adaptability of the active kinase states in binding with these promiscuous inhibitors. Our results have related ligand-induced changes in the residue interaction networks with drug resistance effects, showing that network robustness may be compromised by targeted mutations of key mediating residues. This study has outlined mechanisms by which inhibitor binding could modulate resilience and efficiency of allosteric interactions in the kinase structures, while preserving structural topology required for catalytic activity and regulation.