Crystal structure of the proximal BAH domain of the polybromo protein

The BAH domain (bromo-associated homology domain) was first identified from a repeated motif found in the nuclear protein polybromo – a large (187 kDa) modular protein comprising six bromodomains, two BAH domains and an HMG box. To date, the BAH domain has no ascribed function, although it is found in a wide range of proteins that contain additional domains involved in either transcriptional regulation (e.g. SET, PHD and bromodomain) and/or DNA binding (HMG box and AT hook). The molecular function of polybromo itself also remains unclear, but it has been identified as a key component of an SWI/SNF (switching/sucrose non-fermenting)-related, ATP-dependent chromatin-remodelling complex PBAF (polybromo, BRG1-associated factors; also known as SWI/SNF-B or SWI/SNFβ). We present in this paper the crystal structure of the proximal BAH domain from chicken polybromo (BAH1), at a resolution of 1.6 Å (1 Å=0.1 nm). Structure-based sequence analysis reveals several features that may be involved in mediating protein–protein interactions.

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Ways into Understanding HIF Inhibition

Cancers ◽

10.3390/cancers13010159 ◽

2021 ◽

Vol 13 (1) ◽

pp. 159

Author(s):

Tina Schönberger ◽

Joachim Fandrey ◽

Katrin Prost-Fingerle

Keyword(s):

Protein Interactions ◽

Target Genes ◽

Protein Protein Interactions ◽

Low Oxygen ◽

Drug Candidates ◽

Open Questions ◽

Wide Range ◽

Hif Pathway

Hypoxia is a key characteristic of tumor tissue. Cancer cells adapt to low oxygen by activating hypoxia-inducible factors (HIFs), ensuring their survival and continued growth despite this hostile environment. Therefore, the inhibition of HIFs and their target genes is a promising and emerging field of cancer research. Several drug candidates target protein–protein interactions or transcription mechanisms of the HIF pathway in order to interfere with activation of this pathway, which is deregulated in a wide range of solid and liquid cancers. Although some inhibitors are already in clinical trials, open questions remain with respect to their modes of action. New imaging technologies using luminescent and fluorescent methods or nanobodies to complement widely used approaches such as chromatin immunoprecipitation may help to answer some of these questions. In this review, we aim to summarize current inhibitor classes targeting the HIF pathway and to provide an overview of in vitro and in vivo techniques that could improve the understanding of inhibitor mechanisms. Unravelling the distinct principles regarding how inhibitors work is an indispensable step for efficient clinical applications and safety of anticancer compounds.

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Elucidating Protein-protein Interactions Through Computational Approaches and Designing Small Molecule Inhibitors Against them for Various Diseases

Current Topics in Medicinal Chemistry ◽

10.2174/1568026618666181025114903 ◽

2018 ◽

Vol 18 (20) ◽

pp. 1719-1736 ◽

Cited By ~ 3

Author(s):

Sharanya Sarkar ◽

Khushboo Gulati ◽

Manikyaprabhu Kairamkonda ◽

Amit Mishra ◽

Krishna Mohan Poluri

Keyword(s):

Small Molecule ◽

Protein Interactions ◽

Small Molecule Inhibitors ◽

Computational Techniques ◽

Protein Protein Interactions ◽

Computational Tools ◽

Computational Approaches ◽

Protein Protein Interaction ◽

Wide Range ◽

Therapeutic Measures

Background: To carry out wide range of cellular functionalities, proteins often associate with one or more proteins in a phenomenon known as Protein-Protein Interaction (PPI). Experimental and computational approaches were applied on PPIs in order to determine the interacting partners, and also to understand how an abnormality in such interactions can become the principle cause of a disease. Objective: This review aims to elucidate the case studies where PPIs involved in various human diseases have been proven or validated with computational techniques, and also to elucidate how small molecule inhibitors of PPIs have been designed computationally to act as effective therapeutic measures against certain diseases. Results: Computational techniques to predict PPIs are emerging rapidly in the modern day. They not only help in predicting new PPIs, but also generate outputs that substantiate the experimentally determined results. Moreover, computation has aided in the designing of novel inhibitor molecules disrupting the PPIs. Some of them are already being tested in the clinical trials. Conclusion: This review delineated the classification of computational tools that are essential to investigate PPIs. Furthermore, the review shed light on how indispensable computational tools have become in the field of medicine to analyze the interaction networks and to design novel inhibitors efficiently against dreadful diseases in a shorter time span.

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Metallocluster transactions: dynamic protein interactions guide the biosynthesis of Fe–S clusters in bacteria

Biochemical Society Transactions ◽

10.1042/bst20180365 ◽

2018 ◽

Vol 46 (6) ◽

pp. 1593-1603 ◽

Cited By ~ 9

Author(s):

Chenkang Zheng ◽

Patricia C. Dos Santos

Keyword(s):

Protein Interactions ◽

Protein Complexes ◽

Specific Protein ◽

Biological Synthesis ◽

Cluster Assembly ◽

Sequence Motifs ◽

Protein Protein Interactions ◽

Cysteine Desulfurase ◽

Wide Range ◽

Domains Of Life

Iron–sulfur (Fe–S) clusters are ubiquitous cofactors present in all domains of life. The chemistries catalyzed by these inorganic cofactors are diverse and their associated enzymes are involved in many cellular processes. Despite the wide range of structures reported for Fe–S clusters inserted into proteins, the biological synthesis of all Fe–S clusters starts with the assembly of simple units of 2Fe–2S and 4Fe–4S clusters. Several systems have been associated with the formation of Fe–S clusters in bacteria with varying phylogenetic origins and number of biosynthetic and regulatory components. All systems, however, construct Fe–S clusters through a similar biosynthetic scheme involving three main steps: (1) sulfur activation by a cysteine desulfurase, (2) cluster assembly by a scaffold protein, and (3) guided delivery of Fe–S units to either final acceptors or biosynthetic enzymes involved in the formation of complex metalloclusters. Another unifying feature on the biological formation of Fe–S clusters in bacteria is that these systems are tightly regulated by a network of protein interactions. Thus, the formation of transient protein complexes among biosynthetic components allows for the direct transfer of reactive sulfur and Fe–S intermediates preventing oxygen damage and reactions with non-physiological targets. Recent studies revealed the importance of reciprocal signature sequence motifs that enable specific protein–protein interactions and consequently guide the transactions between physiological donors and acceptors. Such findings provide insights into strategies used by bacteria to regulate the flow of reactive intermediates and provide protein barcodes to uncover yet-unidentified cellular components involved in Fe–S metabolism.

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Practical Model Selection for Prospective Virtual Screening

10.1101/337956 ◽

2018 ◽

Cited By ~ 1

Author(s):

Shengchao Liu ◽

Moayad Alnammi ◽

Spencer S. Ericksen ◽

Andrew F. Voter ◽

Gene E. Ananiev ◽

...

Keyword(s):

Random Forest ◽

Virtual Screening ◽

Protein Interactions ◽

High Throughput Screening ◽

Screening Methods ◽

Protein Protein Interactions ◽

Screening Algorithm ◽

Screening Performance ◽

Wide Range ◽

Public Datasets

AbstractVirtual (computational) high-throughput screening provides a strategy for prioritizing compounds for experimental screens, but the choice of virtual screening algorithm depends on the dataset and evaluation strategy. We consider a wide range of ligand-based machine learning and docking-based approaches for virtual screening on two protein-protein interactions, PriA-SSB and RMI-FANCM, and present a strategy for choosing which algorithm is best for prospective compound prioritization. Our workflow identifies a random forest as the best algorithm for these targets over more sophisticated neural network-based models. The top 250 predictions from our selected random forest recover 37 of the 54 active compounds from a library of 22,434 new molecules assayed on PriA-SSB. We show that virtual screening methods that perform well in public datasets and synthetic benchmarks, like multi-task neural networks, may not always translate to prospective screening performance on a specific assay of interest.

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Exploring the Human-Nipah Virus Protein-Protein Interactome

Journal of Virology ◽

10.1128/jvi.01461-17 ◽

2017 ◽

Vol 91 (23) ◽

Cited By ~ 22

Author(s):

Luis Martinez-Gil ◽

Natalia M. Vera-Velasco ◽

Ismael Mingarro

Keyword(s):

Protein Interactions ◽

Affinity Purification ◽

Nipah Virus ◽

Productive Infection ◽

Virus Protein ◽

Protein Protein Interactions ◽

Data Set ◽

Wide Range ◽

Host Virus Interactions ◽

Virus Interactions

ABSTRACT Nipah virus is an emerging, highly pathogenic, zoonotic virus of the Paramyxoviridae family. Human transmission occurs by close contact with infected animals, the consumption of contaminated food, or, occasionally, via other infected individuals. Currently, we lack therapeutic or prophylactic treatments for Nipah virus. To develop these agents we must now improve our understanding of the host-virus interactions that underpin a productive infection. This aim led us to perform the present work, in which we identified 101 human-Nipah virus protein-protein interactions (PPIs), most of which (88) are novel. This data set provides a comprehensive view of the host complexes that are manipulated by viral proteins. Host targets include the PRP19 complex and the microRNA (miRNA) processing machinery. Furthermore, we explored the biologic consequences of the interaction with the PRP19 complex and found that the Nipah virus W protein is capable of altering p53 control and gene expression. We anticipate that these data will help in guiding the development of novel interventional strategies to counter this emerging viral threat. IMPORTANCE Nipah virus is a recently discovered virus that infects a wide range of mammals, including humans. Since its discovery there have been yearly outbreaks, and in some of them the mortality rate has reached 100% of the confirmed cases. However, the study of Nipah virus has been largely neglected, and currently we lack treatments for this infection. To develop these agents we must now improve our understanding of the host-virus interactions that underpin a productive infection. In the present work, we identified 101 human-Nipah virus protein-protein interactions using an affinity purification approach coupled with mass spectrometry. Additionally, we explored the cellular consequences of some of these interactions. Globally, this data set offers a comprehensive and detailed view of the host machinery's contribution to the Nipah virus's life cycle. Furthermore, our data present a large number of putative drug targets that could be exploited for the treatment of this infection.

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Amphipathic helical peptides hamper protein-protein interactions of the intrinsically disordered chromatin nuclear protein 1 (NUPR1)

Biochimica et Biophysica Acta (BBA) - General Subjects ◽

10.1016/j.bbagen.2018.03.009 ◽

2018 ◽

Vol 1862 (6) ◽

pp. 1283-1295 ◽

Cited By ~ 12

Author(s):

Patricia Santofimia-Castaño ◽

Bruno Rizzuti ◽

Olga Abián ◽

Adrián Velázquez-Campoy ◽

Juan L. Iovanna ◽

...

Keyword(s):

Protein Interactions ◽

Nuclear Protein ◽

Protein Protein Interactions ◽

Helical Peptides ◽

Intrinsically Disordered

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Chasing coevolutionary signals in intrinsically disordered proteins complexes

Scientific Reports ◽

10.1038/s41598-020-74791-6 ◽

2020 ◽

Vol 10 (1) ◽

Author(s):

Javier A. Iserte ◽

Tamas Lazar ◽

Silvio C. E. Tosatto ◽

Peter Tompa ◽

Cristina Marino-Buslje

Keyword(s):

Protein Interactions ◽

Intrinsically Disordered Proteins ◽

Disordered Proteins ◽

Protein Protein Interactions ◽

Contact Prediction ◽

Intrinsically Disordered ◽

Regulatory Processes ◽

Wide Range ◽

Predict Protein Structure ◽

Biological Interpretation

Abstract Intrinsically disordered proteins/regions (IDPs/IDRs) are crucial components of the cell, they are highly abundant and participate ubiquitously in a wide range of biological functions, such as regulatory processes and cell signaling. Many of their important functions rely on protein interactions, by which they trigger or modulate different pathways. Sequence covariation, a powerful tool for protein contact prediction, has been applied successfully to predict protein structure and to identify protein–protein interactions mostly of globular proteins. IDPs/IDRs also mediate a plethora of protein–protein interactions, highlighting the importance of addressing sequence covariation-based inter-protein contact prediction of this class of proteins. Despite their importance, a systematic approach to analyze the covariation phenomena of intrinsically disordered proteins and their complexes is still missing. Here we carry out a comprehensive critical assessment of coevolution-based contact prediction in IDP/IDR complexes and detail the challenges and possible limitations that emerge from their analysis. We found that the coevolutionary signal is faint in most of the complexes of disordered proteins but positively correlates with the interface size and binding affinity between partners. In addition, we discuss the state-of-art methodology by biological interpretation of the results, formulate evaluation guidelines and suggest future directions of development to the field.

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Structural biology of plant sulfur metabolism: from sulfate to glutathione

Journal of Experimental Botany ◽

10.1093/jxb/erz094 ◽

2019 ◽

Vol 70 (16) ◽

pp. 4089-4103 ◽

Cited By ~ 4

Author(s):

Joseph M Jez

Keyword(s):

Structural Biology ◽

Protein Interactions ◽

Sulfur Metabolism ◽

Essential Element ◽

Glutathione Synthetase ◽

Protein Protein Interactions ◽

Glutathione Biosynthesis ◽

Wide Range ◽

Aps Reductase ◽

Level Information

Abstract Sulfur is an essential element for all organisms. Plants must assimilate this nutrient from the environment and convert it into metabolically useful forms for the biosynthesis of a wide range of compounds, including cysteine and glutathione. This review summarizes structural biology studies on the enzymes involved in plant sulfur assimilation [ATP sulfurylase, adenosine-5'-phosphate (APS) reductase, and sulfite reductase], cysteine biosynthesis (serine acetyltransferase and O-acetylserine sulfhydrylase), and glutathione biosynthesis (glutamate-cysteine ligase and glutathione synthetase) pathways. Overall, X-ray crystal structures of enzymes in these core pathways provide molecular-level information on the chemical events that allow plants to incorporate sulfur into essential metabolites and revealed new biochemical regulatory mechanisms, such as structural rearrangements, protein–protein interactions, and thiol-based redox switches, for controlling different steps in these pathways.

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A massively parallel barcoded sequencing pipeline enables generation of the first ORFeome and interactome map for rice

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1918068117 ◽

2020 ◽

Vol 117 (21) ◽

pp. 11836-11842 ◽

Cited By ~ 1

Author(s):

Shayne D. Wierbowski ◽

Tommy V. Vo ◽

Pascal Falter-Braun ◽

Timothy O. Jobe ◽

Lars H. Kruse ◽

...

Keyword(s):

Protein Interactions ◽

Massively Parallel ◽

Model Organisms ◽

Protein Protein Interactions ◽

Numerous Model ◽

High Quality Protein ◽

Protein Interactome ◽

Wide Range ◽

Dna Elements ◽

General Tool

Systematic mappings of protein interactome networks have provided invaluable functional information for numerous model organisms. Here we developPCR-mediatedLinkage of barcodedAdaptersTo nucleic acidElements forsequencing (PLATE-seq) that serves as a general tool to rapidly sequence thousands of DNA elements. We validate its utility by generating the ORFeome forOryza sativacovering 2,300 genes and constructing a high-quality protein–protein interactome map consisting of 322 interactions between 289 proteins, expanding the known interactions in rice by roughly 50%. Our work paves the way for high-throughput profiling of protein–protein interactions in a wide range of organisms.

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Glycoprotein Ibalpha Inhibitor Complex Crystal Structure at High Resolution.

Blood ◽

10.1182/blood.v114.22.774.774 ◽

2009 ◽

Vol 114 (22) ◽

pp. 774-774

Author(s):

P.A Mcewan ◽

Robert K Andrews ◽

Jonas Emsley

Keyword(s):

Crystal Structure ◽

Shear Stress ◽

Protein Interactions ◽

Platelet Adhesion ◽

Peptide Sequence ◽

Leucine Rich Repeat ◽

Protein Protein Interactions ◽

Leucine Rich Repeats ◽

Von Willebrand ◽

Complex Crystal

Abstract Abstract 774 Introduction: The platelet Glycoprotein Ib/V/IX (GpIb/V/IX) complex is considered a major target for anticoagulant therapy. The primary function of the receptor is to mediate platelet adhesion to von Willebrand factor (VWF) bound to damaged sub-endothelium. This represents the first critical step for platelet adhesion under conditions of high fluid shear stress. GpIb/V/IX is implicated in a number of thrombotic pathological processes such as stroke or myocardial infarction and the bleeding disorders Bernard-Soulier syndrome, platelet type von Willebrand disease (Pt-VWD) and thrombotic thrombocytopenic purpura. We have successfully determined the structure of the GpIbalpha N-terminal domain in complex with a potent (sub nM) 11meric peptide inhibitor (OS1) of the interaction with VWF. Methods: We have determined the crystal structure to 1.8Å resolution using molecular replacement. Results. The peptide sequence CTERMALHNLC was readily identifiable bound to GpIbalpha between the extended regulatory (R) loop and the concave surface of the leucine rich repeats. The peptide adopts one and a half turns of an alpha-helix and contacts three subsites (S1, S2 and S3). S1 and S2 reside within the leucine rich repeats and S3 has a unique feature as this subsite involves contact with the regulatory R-loop stabilizing it in a well defined conformation with helical character. This loop alters conformation between an extended beta-hairpin in the VWF-A1 bound structure and a more compact largely disordered structure in the unliganded structure. In this regard, the Pt-VWD mutations of GpIbalpha, G233V and M239V, which reside in the R-loop act by inducing a beta-conformation and thus result in a high affinity form of the receptor. Conclusions: These studies provide a strategy for targeting the GpIbalpha-VWF interaction using small molecules or alpha-helical peptides exploiting the GpIbalpha subsites described here and acting allosterically to stabilise a low affinity conformation of the receptor with an alpha helical R-loop. Ligand mimetic peptide complex crystal structures for the platelet receptors integrin aIIbb3 with RGD, and alpha2beta1 with a collagen peptide have been described and the former are currently in therapeutic use for treatment of thromboemboletic disorders. Targeting the GpIbalpha-VWF interaction may provide anti-thrombotic drugs which affect platelet adhesion under high shear stress without compromising normal processes of platelet adhesion and aggregation which may be required for normal hemostasis to function. Targeting protein-protein interactions is considered one of the great contemporary challenges in drug discovery. The understanding of how the S1S2S3 subsites provide very effective inhibition of a large protein-protein interaction has wide applicability. LRR proteins are an extended family mediating protein-protein interactions involved in a variety of disease processes such as sepsis, asthma, immunodeficiencies, atherosclerosis, alzheimers (leucine rich repeat kinase) and leukaemia (leucine rich repeat phosphatase). The structural fit of the helical curvature of the peptide with the arc of the leucine rich repeats may provide a basis for further development of alpha-helical peptide mimetics targeting other members of the LRR family which utilize the concave face. Disclosures: No relevant conflicts of interest to declare.

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