Dataset Information

Merits and pitfalls of conventional and covalent docking in identifying new hydroxyl aryl aldehyde like compounds as human IRE1 inhibitors.

ABSTRACT: IRE1 is an endoplasmic reticulum (ER) bound transmembrane bifunctional kinase and endoribonuclease protein crucial for the unfolded protein response (UPR) signaling pathway. Upon ER stress, IRE1 homodimerizes, oligomerizes and autophosphorylates resulting in endoribonuclease activity responsible for excision of a 26 nucleotide intron from the X-box binding protein 1 (XBP1) mRNA. This unique splicing mechanism results in activation of the XBP1s transcription factor to specifically restore ER stress. Small molecules targeting the reactive lysine residue (Lys907) in IRE1?'s RNase domain have been shown to inhibit the cleavage of XBP1 mRNA. Crystal structures of murine IRE1 in complex with covalently bound hydroxyl aryl aldehyde (HAA) inhibitors show that these molecules form hydrophobic interactions with His910 and Phe889, a hydrogen bond with Tyr892 and an indispensable Schiff-base with Lys907. The availability of such data prompted interest in exploring structure-based drug design as a strategy to develop new covalently binding ligands. We extensively evaluated conventional and covalent docking for drug discovery targeting the catalytic site of the RNase domain. The results indicate that neither computational approach is fully successful in the current case, and we highlight herein the potential and limitations of the methods for the design of novel IRE1 RNase binders.

SUBMITTER: Carlesso A

PROVIDER: S-EPMC6399222 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Merits and pitfalls of conventional and covalent docking in identifying new hydroxyl aryl aldehyde like compounds as human IRE1 inhibitors.

Carlesso Antonio A Chintha Chetan C Gorman Adrienne M AM Samali Afshin A Eriksson Leif A LA

Scientific reports 20190304 1

IRE1 is an endoplasmic reticulum (ER) bound transmembrane bifunctional kinase and endoribonuclease protein crucial for the unfolded protein response (UPR) signaling pathway. Upon ER stress, IRE1 homodimerizes, oligomerizes and autophosphorylates resulting in endoribonuclease activity responsible for excision of a 26 nucleotide intron from the X-box binding protein 1 (XBP1) mRNA. This unique splicing mechanism results in activation of the XBP1s transcription factor to specifically restore ER stre ...[more]

PMID: 30833722

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Project description:Accurate estimates of animal abundance are essential for guiding effective management, and poor survey data can produce misleading inferences. Aerial surveys are an efficient survey platform, capable of collecting wildlife data across large spatial extents in short timeframes. However, these surveys can yield unreliable data if not carefully executed. Despite a long history of aerial survey use in ecological research, problems common to aerial surveys have not yet been adequately resolved. Through an extensive review of the aerial survey literature over the last 50 years, we evaluated how common problems encountered in the data (including nondetection, counting error, and species misidentification) can manifest, the potential difficulties conferred, and the history of how these challenges have been addressed. Additionally, we used a double-observer case study focused on waterbird data collected via aerial surveys and an online group (flock) counting quiz to explore the potential extent of each challenge and possible resolutions. We found that nearly three quarters of the aerial survey methodology literature focused on accounting for nondetection errors, while issues of counting error and misidentification were less commonly addressed. Through our case study, we demonstrated how these challenges can prove problematic by detailing the extent and magnitude of potential errors. Using our online quiz, we showed that aerial observers typically undercount group size and that the magnitude of counting errors increases with group size. Our results illustrate how each issue can act to bias inferences, highlighting the importance of considering individual methods for mitigating potential problems separately during survey design and analysis. We synthesized the information gained from our analyses to evaluate strategies for overcoming the challenges of using aerial survey data to estimate wildlife abundance, such as digital data collection methods, pooling species records by family, and ordinal modeling using binned data. Recognizing conditions that can lead to data collection errors and having reasonable solutions for addressing errors can allow researchers to allocate resources effectively to mitigate the most significant challenges for obtaining reliable aerial survey data.

Dataset Information

Merits and pitfalls of conventional and covalent docking in identifying new hydroxyl aryl aldehyde like compounds as human IRE1 inhibitors.

Publications

Merits and pitfalls of conventional and covalent docking in identifying new hydroxyl aryl aldehyde like compounds as human IRE1 inhibitors.

Similar Datasets

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