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Bai N, Adeshina Y, Bychkov I, Xia Y, Gowthaman R, Miller SA, Gupta AK, Johnson DK, Lan L, Golemis EA, Makhov PB, Xu L, Pillai MM, Boumber Y, Karanicolas J. Rationally designed inhibitors of the Musashi protein-RNA interaction by hotspot mimicry. RESEARCH SQUARE 2023:rs.3.rs-2395172. [PMID: 36711552 PMCID: PMC9882606 DOI: 10.21203/rs.3.rs-2395172/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
RNA-binding proteins (RBPs) are key post-transcriptional regulators of gene expression, and thus underlie many important biological processes. Here, we developed a strategy that entails extracting a "hotspot pharmacophore" from the structure of a protein-RNA complex, to create a template for designing small-molecule inhibitors and for exploring the selectivity of the resulting inhibitors. We demonstrate this approach by designing inhibitors of Musashi proteins MSI1 and MSI2, key regulators of mRNA stability and translation that are upregulated in many cancers. We report this novel series of MSI1/MSI2 inhibitors is specific and active in biochemical, biophysical, and cellular assays. This study extends the paradigm of "hotspots" from protein-protein complexes to protein-RNA complexes, supports the "druggability" of RNA-binding protein surfaces, and represents one of the first rationally-designed inhibitors of non-enzymatic RNA-binding proteins. Owing to its simplicity and generality, we anticipate that this approach may also be used to develop inhibitors of many other RNA-binding proteins; we also consider the prospects of identifying potential off-target interactions by searching for other RBPs that recognize their cognate RNAs using similar interaction geometries. Beyond inhibitors, we also expect that compounds designed using this approach can serve as warheads for new PROTACs that selectively degrade RNA-binding proteins.
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Affiliation(s)
- Nan Bai
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
- Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045
| | - Yusuf Adeshina
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
- Center for Computational Biology, University of Kansas, Lawrence KS 66045
| | - Igor Bychkov
- Division of Hematology/Oncology, Department of Medicine, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Yan Xia
- Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045
| | - Ragul Gowthaman
- Center for Computational Biology, University of Kansas, Lawrence KS 66045
| | - Sven A. Miller
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
| | - Abhishek K. Gupta
- Section of Hematology, Yale Cancer Center, New Haven CT 06520
- Department of Pathology, Yale University School of Medicine, New Haven CT 06520
| | - David K. Johnson
- Center for Computational Biology, University of Kansas, Lawrence KS 66045
| | - Lan Lan
- Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045
| | - Erica A. Golemis
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
- Department of Cancer and Cellular Biology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140
| | - Petr B. Makhov
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
| | - Liang Xu
- Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045
- Department of Radiation Oncology, University of Kansas Medical Center, Kansas City KS 66160
| | - Manoj M. Pillai
- Section of Hematology, Yale Cancer Center, New Haven CT 06520
- Department of Pathology, Yale University School of Medicine, New Haven CT 06520
| | - Yanis Boumber
- Division of Hematology/Oncology, Department of Medicine, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - John Karanicolas
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
- Moulder Center for Drug Discovery Research, Temple University School of Pharmacy, Philadelphia, PA 19140
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Bai N, Adeshina Y, Bychkov I, Xia Y, Gowthaman R, Miller SA, Gupta AK, Johnson DK, Lan L, Golemis EA, Makhov PB, Xu L, Pillai MM, Boumber Y, Karanicolas J. Rationally designed inhibitors of the Musashi protein-RNA interaction by hotspot mimicry. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.09.523326. [PMID: 36711508 PMCID: PMC9882015 DOI: 10.1101/2023.01.09.523326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
RNA-binding proteins (RBPs) are key post-transcriptional regulators of gene expression, and thus underlie many important biological processes. Here, we developed a strategy that entails extracting a "hotspot pharmacophore" from the structure of a protein-RNA complex, to create a template for designing small-molecule inhibitors and for exploring the selectivity of the resulting inhibitors. We demonstrate this approach by designing inhibitors of Musashi proteins MSI1 and MSI2, key regulators of mRNA stability and translation that are upregulated in many cancers. We report this novel series of MSI1/MSI2 inhibitors is specific and active in biochemical, biophysical, and cellular assays. This study extends the paradigm of "hotspots" from protein-protein complexes to protein-RNA complexes, supports the "druggability" of RNA-binding protein surfaces, and represents one of the first rationally-designed inhibitors of non-enzymatic RNA-binding proteins. Owing to its simplicity and generality, we anticipate that this approach may also be used to develop inhibitors of many other RNA-binding proteins; we also consider the prospects of identifying potential off-target interactions by searching for other RBPs that recognize their cognate RNAs using similar interaction geometries. Beyond inhibitors, we also expect that compounds designed using this approach can serve as warheads for new PROTACs that selectively degrade RNA-binding proteins.
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Affiliation(s)
- Nan Bai
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
- Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045
| | - Yusuf Adeshina
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
- Center for Computational Biology, University of Kansas, Lawrence KS 66045
| | - Igor Bychkov
- Division of Hematology/Oncology, Department of Medicine, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - Yan Xia
- Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045
| | - Ragul Gowthaman
- Center for Computational Biology, University of Kansas, Lawrence KS 66045
| | - Sven A. Miller
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
| | | | - David K. Johnson
- Center for Computational Biology, University of Kansas, Lawrence KS 66045
| | - Lan Lan
- Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045
| | - Erica A. Golemis
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
- Department of Cancer and Cellular Biology, Lewis Katz School of Medicine at Temple University, Philadelphia, PA 19140
| | - Petr B. Makhov
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
| | - Liang Xu
- Department of Molecular Biosciences, University of Kansas, Lawrence KS 66045
- Department of Radiation Oncology, University of Kansas Medical Center, Kansas City KS 66160
| | - Manoj M. Pillai
- Section of Hematology, Yale Cancer Center, New Haven CT 06520
- Department of Pathology, Yale University School of Medicine, New Haven CT 06520
| | - Yanis Boumber
- Division of Hematology/Oncology, Department of Medicine, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611
| | - John Karanicolas
- Program in Molecular Therapeutics, Fox Chase Cancer Center, Philadelphia PA 19111
- Moulder Center for Drug Discovery Research, Temple University School of Pharmacy, Philadelphia, PA 19140
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Multistep kinetics of the U1A-SL2 RNA complex dissociation. J Mol Biol 2011; 408:896-908. [PMID: 21419778 DOI: 10.1016/j.jmb.2011.02.054] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2010] [Revised: 02/20/2011] [Accepted: 02/22/2011] [Indexed: 11/23/2022]
Abstract
The U1A-SL2 RNA complex is a model system for studying interactions between RNA and the RNA recognition motif (RRM), which is one of the most common RNA binding domains. We report here kinetic studies of dissociation of the U1A-SL2 RNA complex, using laser temperature jump and stopped-flow fluorescence methods with U1A proteins labeled with the intrinsic chromophore tryptophan. An analysis of the kinetic data suggests three phases of dissociation with time scales of ∼100 μs, ∼50 ms, and ∼2 s. We propose that the first step of dissociation is a fast rearrangement of the complex to form a loosely bound complex. The intermediate step is assigned to be the dissociation of the U1A-SL2 RNA complex, and the final step is assigned to a reorganization of the U1A protein structure into the conformation of the free protein. These assignments are consistent with previous proposals based on thermodynamic, NMR, and surface plasmon resonance experiments and molecular dynamics simulations. Together, these results begin to build a comprehensive model of the complex dynamic processes involved in the formation and dissociation of an RRM-RNA complex.
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Kormos BL, Pieniazek SN, Beveridge DL, Baranger AM. U1A protein-stem loop 2 RNA recognition: prediction of structural differences from protein mutations. Biopolymers 2011; 95:591-606. [PMID: 21384338 DOI: 10.1002/bip.21616] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2010] [Revised: 01/01/2011] [Accepted: 02/07/2011] [Indexed: 01/02/2023]
Abstract
Molecular dynamics (MD) simulations were carried out to compare the free and bound structures of wild type U1A protein with several Phe56 mutant U1A proteins that bind the target stem loop 2 (SL2) RNA with a range of affinities. The simulations indicate the free U1A protein is more flexible than the U1A-RNA complex for both wild type and Phe56 mutant systems. A complete analysis of the hydrogen-bonding (HB) and non-bonded (VDW) interactions over the course of the MD simulations suggested that changes in the interactions in the free U1A protein caused by the Phe56Ala and Phe56Leu mutations may stabilize the helical character in loop 3, and contribute to the weak binding of these proteins to SL2 RNA. Compared with wild type, changes in HB and VDW interactions in Phe56 mutants of the free U1A protein are global, and include differences in β-sheet, loop 1 and loop 3 interactions. In the U1A-RNA complex, the Phe56Ala mutation leads to a series of differences in interactions that resonate through the complex, while the Phe56Leu and Phe56Trp mutations cause local differences around the site of mutation. The long-range networks of interactions identified in the simulations suggest that direct interactions and dynamic processes in both the free and bound forms contribute to complex stability.
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Affiliation(s)
- Bethany L Kormos
- Chemistry Department and Molecular Biophysics Program, Wesleyan University, Middletown, CT 06459, USA
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Recognition of essential purines by the U1A protein. BMC BIOCHEMISTRY 2007; 8:22. [PMID: 17980039 PMCID: PMC2203988 DOI: 10.1186/1471-2091-8-22] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/16/2007] [Accepted: 11/02/2007] [Indexed: 11/10/2022]
Abstract
Background The RNA recognition motif (RRM) is one of the largest families of RNA binding domains. The RRM is modulated so that individual proteins containing RRMs can specifically recognize RNA targets with diverse sequences and structures. Understanding the principles governing this specificity will be important for the rational modification and design of RRM-RNA complexes. Results In this paper we have investigated the origins of specificity of the N terminal RRM of the U1A protein for stem loop 2 (SL2) of U1 snRNA by substituting modified bases for essential purines in SL2 RNA. In one series of modified bases, hydrogen bond donors and acceptors were replaced by aliphatic groups to probe the importance of these functional groups to binding. In a second series of modified bases, hydrogen bond donors and acceptors were incorrectly placed on the purine bases to analyze the origins of discrimination between cognate and non-cognate RNA. The results of these experiments show that three different approaches are used by the U1A protein to gain specificity for purines. Specificity for the first base in the loop, A1, is based primarily on discrimination against RNA containing the incorrect base, specificity for the fourth base in the loop, G4, is based largely on recognition of the donors and acceptors of G4, while specificity for the sixth base in the loop, A6, results from a combination of direct recognition of the base and discrimination against incorrectly placed functional groups. Conclusion These investigations identify different roles that hydrogen bond donors and acceptors on bases in both cognate and non-cognate RNA play in the specific recognition of RNA by the U1A protein. Taken together with investigations of other RNA-RRM complexes, the results contribute to a general understanding of the origins of RNA-RRM specificity and highlight, in particular, the contribution of steric and electrostatic repulsion to binding specificity.
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Kormos BL, Baranger AM, Beveridge DL. Do collective atomic fluctuations account for cooperative effects? Molecular dynamics studies of the U1A-RNA complex. J Am Chem Soc 2007; 128:8992-3. [PMID: 16834346 PMCID: PMC2603296 DOI: 10.1021/ja0606071] [Citation(s) in RCA: 50] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
A complete understanding of gene expression relies on a comprehensive understanding of the protein-RNA recognition process. However, the study of protein-RNA recognition is complicated by many factors that contribute to both binding affinity and specificity, including structure, energetics, dynamical motions, and cooperative interactions. Several recent studies have suggested that energetic coupling between residues contributes to formation of the complex between the U1A protein and stem loop 2 of U1 snRNA as a consequence of a cooperative network of interactions. We have performed molecular dynamics simulations on the U1A-RNA complex, including explicit water and counterions, and analyzed the results based on the calculated positional cross-correlations of atomic fluctuations. The results indicate that cross-correlations calculated on a per residue basis agree well with the observed inter-residue cooperativity and predict that the networks identified to date may also be coupled into an extensive hyper-network that reflects the intrinsic rigidity of the RNA recognition motif. In addition, we report a comparison of the MD calculated correlations with the results of a positional covariance analysis based on the sequences of 330 RNA recognition motifs, including U1A. The calculated inter-residue cross-correlations agree very well with the results of the sites exhibiting positional covariance. Collectively, these results strongly support the hypothesis that collective fluctuations contribute to cooperativity and the corresponding observed thermodynamic coupling. Predictions of additional sites in U1A that may be involved in cooperative networks are advanced.
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Kormos BL, Benitex Y, Baranger AM, Beveridge DL. Affinity and specificity of protein U1A-RNA complex formation based on an additive component free energy model. J Mol Biol 2007; 371:1405-19. [PMID: 17603075 PMCID: PMC2034351 DOI: 10.1016/j.jmb.2007.06.003] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2007] [Revised: 06/02/2007] [Accepted: 06/04/2007] [Indexed: 11/26/2022]
Abstract
An MM-GBSA computational protocol was used to investigate wild-type U1A-RNA and F56 U1A mutant experimental binding free energies. The trend in mutant binding free energies compared to wild-type is well-reproduced. Following application of a linear-response-like equation to scale the various energy components, the binding free energies agree quantitatively with observed experimental values. Conformational adaptation contributes to the binding free energy for both the protein and the RNA in these systems. Small differences in DeltaGs are the result of different and sometimes quite large relative contributions from various energetic components. Residual free energy decomposition indicates differences not only at the site of mutation, but throughout the entire protein. MM-GBSA and ab initio calculations performed on model systems suggest that stacking interactions may nearly, but not completely, account for observed differences in mutant binding affinities. This study indicates that there may be different underlying causes of ostensibly similar experimentally observed binding affinities of different mutants, and thus recommends caution in the interpretation of binding affinities and specificities purely by inspection.
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Affiliation(s)
- Bethany L Kormos
- Chemistry Department and Molecular Biophysics Program, Wesleyan University, Middletown, CT 06459, USA.
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Kormos BL, Baranger AM, Beveridge DL. A study of collective atomic fluctuations and cooperativity in the U1A-RNA complex based on molecular dynamics simulations. J Struct Biol 2006; 157:500-13. [PMID: 17194603 PMCID: PMC1994251 DOI: 10.1016/j.jsb.2006.10.022] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2006] [Revised: 10/02/2006] [Accepted: 10/04/2006] [Indexed: 11/21/2022]
Abstract
Cooperative interactions play an important role in recognition and binding in macromolecular systems. In this study, we find that cross-correlated atomic fluctuations can be used to identify cooperative networks in a protein-RNA system. The dynamics of the RRM-containing protein U1A-stem loop 2 RNA complex have been calculated theoretically from a 10 ns molecular dynamics (MD) simulation. The simulation was analyzed by calculating the covariance matrix of all atomic fluctuations. These matrix elements are then presented in the form of a two-dimensional grid, which displays fluctuations on a per residue basis. The results indicate the presence of strong, selective cross-correlated fluctuations throughout the RRM in U1A-RNA. The atomic fluctuations correspond well with previous biophysical studies in which a multiplicity of cooperative networks have been reported and indicate that the various networks identified in separate individual experiments are fluctuationally correlated into a hyper-network encompassing most of the RRM. The calculated results also correspond well with independent results from a statistical covariance analysis of 330 aligned RRM sequences. This method has significant implications as a predictive tool regarding cooperativity in the protein-nucleic acid recognition process.
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Affiliation(s)
- Bethany L Kormos
- Chemistry Department and Molecular Biophysics Program, Wesleyan University, 237 Church St., Middletown, CT 06459, USA.
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Guallar V, Borrelli KW. A binding mechanism in protein-nucleotide interactions: implication for U1A RNA binding. Proc Natl Acad Sci U S A 2005; 102:3954-9. [PMID: 15753311 PMCID: PMC554833 DOI: 10.1073/pnas.0500888102] [Citation(s) in RCA: 32] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
We present a close electronic view of the protein-base interface for the N-terminal domain of the human protein U1A. Combining accurate mixed quantum mechanics/molecular mechanics techniques and protein structure prediction methods, we provide a detailed electronic structure description of the protein-RNA stacking interactions. Our analysis indicates the evolution of the protein structure optimizing the interaction between Asp-92 and the RNA bases. The results show a direct coupling of the C-terminal tail and Asp-92, providing a direct rationalization of the experimentally determined role of the C-terminal domain in RNA binding. Here, we propose a mechanism where a protein side chain, with a delocalized electronic pi system, assists in the nucleotide binding. The binding mechanism involves a short-range interaction of the side chain with the nucleotide base and an electronic long-range interaction through a sandwich-stacking motif. The structural motif of the binding mechanism is observed in similar protein-RNA interactions and in various protein-ATP-binding sites.
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Affiliation(s)
- Victor Guallar
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63108, USA.
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Myers JC, Shamoo Y. Human UP1 as a model for understanding purine recognition in the family of proteins containing the RNA recognition motif (RRM). J Mol Biol 2004; 342:743-56. [PMID: 15342234 DOI: 10.1016/j.jmb.2004.07.029] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2004] [Accepted: 07/14/2004] [Indexed: 11/18/2022]
Abstract
Heterogeneous ribonucleoprotein A1 (hnRNP A1) is a prototype for the family of eukaryotic RNA processing proteins containing the common RNA recognition motif (RRM). The region consisting of residues 1-195 of hnRNP A1 is referred to as UP1. This region has two RRMs and has a high affinity for both single-stranded RNA and the human telomeric repeat sequence d(TTAGGG)(n). We have used UP1's novel DNA binding to investigate how RRMs bind nucleic acid bases through their highly conserved RNP consensus sequences. Nine complexes of UP1 bound to modified telomeric repeats were investigated using equilibrium fluorescence binding and X-ray crystallography. In two of the complexes, alteration of a guanine to either 2-aminopurine or nebularine resulted in an increase in K(d) from 88nM to 209nM and 316nM, respectively. The loss of these orienting interactions between UP1 and the substituted base allows it to flip between syn and anti conformations. Substitution of the same base with 7-deaza-guanine preserves the O6/N1 contacts but still increases the K(d) to 296nM and suggests that it is not simply the loss of affinity that gives rise to the base mobility, but also the stereochemistry of the specific contact to O6. Although these studies provide details of UP1 interactions to nucleic acids, three general observations about RRMs are also evident: (1) as suggested by informatic studies, main-chain to base hydrogen bonding makes up an important aspect of ligand recognition (2) steric clashes generated by modification of a hydrogen bond donor-acceptor pair to a donor-donor pair are poorly tolerated and (3) a conserved lysine position proximal to RNP-2 (K(106)-IFVGGI) orients the purine to allow stereochemical discrimination between adenine and guanine based on the 6-position. This single interaction is well-conserved in known RRM structures and appears to be a broad indicator for purine preference in the larger family of RRM proteins.
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Affiliation(s)
- Jeffrey C Myers
- Department of Biochemistry and Cell Biology, Rice University, 6100 S. Main Street-MS140, Houston TX 77005, USA
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Zhao Y, Baranger AM. Design of an adenosine analogue that selectively improves the affinity of a mutant U1A protein for RNA. J Am Chem Soc 2003; 125:2480-8. [PMID: 12603136 DOI: 10.1021/ja021267w] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
The RNA recognition motif (RRM), one of the most common RNA binding domains, contains three highly conserved aromatic amino acids that participate in stacking interactions with RNA bases. We have investigated the contribution of these highly conserved aromatic amino acids to the affinity of the complex formed between the N-terminal RRM of the U1A protein and stem loop 2 of U1 snRNA. Previously, we found that substitution of one of these conserved aromatic amino acids, Phe56, with Ala resulted in a large destabilization of the complex. Here, we have modified A6, the base in stem loop 2 RNA that stacks with Phe56, to compensate for a portion of the destabilization caused by the Phe56Ala mutation. We have designed two modified adenosines, A-3CPh and A-4CPh, in which a phenyl group is linked to the adenosine such that it may replace the phenyl group that is eliminated by the Phe56Ala mutation in the complex. We have found that incorporation of A-3CPh into stem loop 2 RNA stabilizes the complex formed with Phe56Ala by 0.6 kcal/mol, while incorporation of A-4CPh into stem loop 2 RNA stabilizes this complex by 1.8 kcal/mol. Either base modification destabilizes the wild-type complex by 0.8-0.9 kcal/mol. Experiments with other U1A mutant proteins suggest that the stabilization of the complex between the Phe56Ala U1A protein and stem loop 2 RNA is due to a specific interaction between the Phe56Ala U1A protein and A6-4CPh stem loop 2 RNA.
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Affiliation(s)
- Ying Zhao
- Department of Chemistry, Wesleyan University, Middletown, CT 06459, USA
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