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Re, S.

Publications and source records attributed to Re, S..

5 recordsLinked to original sources

BiLSTM-Powered Bilinear Attention for Protein-Ligand Prediction

Rapid and accurate prediction of protein-ligand bindings is essential for drug discovery. While generative AI has driven rapid advancements in structure-based approaches, sequence-based methods remain significantly faster and more cost-effective. Here, we present a weakly supervised deep learning framework integrating graph convolutional networks (GCN) for molecular encoding and bidirectional long short-term memory (BiLSTM) for protein modeling. The latter represents long-range dependencies better than the widely used convolutional neural network (CNN). Leveraging a bilinear attention network (BAN), this model learns protein-ligand pairwise interactions without requiring three-dimensional structural supervision. By using the publicly available BindingDB dataset, the model was trained, solely on affinity labels, and successfully classified binder and non-binders with AUROC of 0.96 and an AUPRC of 0.95. The model generates interpretable attention maps that serve as a "GPS" to locate binding sites. Remarkably, despite the lack of structural training data, it can pinpoint key contact residues confirmed by crystal structures. Our method could function as a scalable filter for giga-scale libraries, allowing rapid screening of drug candidates with direct structural insights into the protein-ligand interface.

bioinformatics↗

The impact of inhibitor size and flexibility on the binding pathways to c-Src kinase

Considering dynamical aspects of protein-drug binding processes is inevitable in current drug compound design. Conformational plasticity of protein kinases poses a challenge for the design of their inhibitors, and therefore, atomistic molecular dynamics (MD) simulations have often been utilized. While protein conformational changes have been increasingly discussed, a fundamental yet non-trivial question remains for the effect of drug compound flexibility, which is hardly detectable from experiments. In this study, we apply two-dimensional replica-exchange MD simulations as enhanced sampling to investigate how c-Src kinase can bind PP1, a small inhibitor, and dasatinib, a larger inhibitor with greater flexibility. 600 microseconds simulations in total sample binding and unbinding events of these inhibitors much more frequently than conventional MD simulation, resulting in statistically converged binding pathways. While the two inhibitors adopt a similar mechanism of multiple binding pathways, the non-canonical binding poses become less feasible for dasatinib. A notable difference is apparent in their energetics where dasatinib stabilizes at intermediate states more than PP1 to raise the barrier toward the canonical pose. Conformational analysis shows that dasatinib adopts linear and bent forms for which relative populations are altered upon binding. We further find hidden conformations of dasatinib at intermediate regions, and unexpectedly one of them could efficiently bypasses the intermediate-to-bound state transition. The results demonstrate that inhibitor size and flexibility impact the binding mechanism, which could potentially modulate inhibitor residence time.

biophysics↗

The Inherent Flexibility of Receptor Binding Domains in SARS-CoV-2 Spike Protein

Spike (S) protein is the primary antigenic target for neutralization and vaccine development for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It decorates the virus surface and undergoes large conformational changes of its receptor binding domain (RBD) to enter the host cell, as the abundant structural studies suggest. Here, we observe Down, one-Up, one-Open, and two-Up-like structures in enhanced molecular dynamics simulations without pre-defined reaction coordinates. The RBDA transition from Down to one-Up is supported by transient salt-bridges between RBDA and RBDC and by the glycan at N343B. Reduced interactions between RBDA and RBDB induce the RBDB motions toward two-Up. Glycan shielding for neutralizing antibodies is the weakest in one-Open. Cryptic pockets are revealed at the RBD interfaces in intermediate structures between Down and one-Up. The inherent flexibility in S-protein is, thus, essential for the structure transition and shall be considered for antiviral drug rational design or vaccine development.

biophysics↗

Clomipramine suppresses ACE2-mediated SARS-CoV-2 entry

Myocardial damage caused by the newly emerged coronavirus (SARS-CoV-2) infection is one of key determinants of COVID-19 severity and mortality. SARS-CoV-2 entry to host cells are initiated by binding with its receptor, angiotensin converting enzyme (ACE) 2, and the ACE2 abundance is thought to reflect the susceptibility to infection. Here, we found that clomipramine, a tricyclic antidepressant, potently inhibits SARS-CoV-2 infection and metabolic disorder in human iPS-derived cardiomyocytes. Among 13 approved drugs that we have previously identified as potential inhibitor of doxorubicin-induced cardiotoxicity, clomipramine showed the best potency to inhibit SARS-CoV-2 spike glycoprotein pseudovirus-stimulated ACE2 internalization. Indeed, SARS-CoV-2 infection to human iPS-derived cardiomyocytes (iPS-CMs) and TMPRSS2-expressing VeroE6 cells were dramatically suppressed even after treatment with clomipramine. Furthermore, the combined use of clomipramine and remdesivir was revealed to synergistically suppress SARS-CoV-2 infection. Our results will provide the potentiality of clomipramine for the breakthrough treatment of severe COVID-19.

pharmacology and toxicology↗

Molecular basis for two stereoselective Diels-Alderases that produce decalin skeletons

Molecular chirality, discovered by Louis Pasteur in the middle of the 19th century1, is found in most primary and secondary metabolites. Particularly, the so-called natural products are rich in chiral centres2. The stereochemistry of natural products is strictly recognized in living organisms, and is thus closely related to their biological functions. The Diels-Alder (DA) reaction, which forms a six-membered ring with up to four chiral centres, is a fundamental practical reaction for C-C bond formation in synthetic chemistry3. Nature has also adopted this reaction to elaborate the complex structures of natural products using enzymes derived from various progenitor proteins4-7. Although enzymes catalysing the DA reaction, Diels-Alderases (DAases), have attracted increasing attention, little is known about the molecular mechanism by which they control the stereochemistry and perform catalysis. Here, we solved the X-ray crystal structures of a pair of decalin synthases, Fsa2 and Phm7, that catalyse intramolecular DA reactions to form enantiomeric decalin scaffolds during biosynthesis of the HIV-1 integrase inhibitor equisetin and its stereochemical opposite, phomasetin8,9. Based on the crystal structures, docking simulations followed by all-atom molecular dynamics simulations provided dynamic binding models demonstrating the folding of linear polyenoyl tetramic acid substrates in the binding pocket of these enzymes, explaining the stereoselectivity in the construction of decalin scaffolds. Site-directed mutagenesis studies verified the binding models and, in combination with density functional theory calculations, clarified how hydrophilic amino acid residues in the Phm7 pocket regulate and catalyse the stereoselective DA reaction. This study highlights the distinct molecular mechanisms of the enzymatic DA reaction and its stereoselectivity experimentally and computationally. We anticipate that clarified molecular mechanism herein provides not only the basic understanding how these important enzymes work but also the guiding principle to create artificial enzymes that produce designer bioactive molecules.

biochemistry↗