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"complementarity"
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Complementarity in the line of fire : the catalysing effect of the international criminal court in Uganda and Sudan
\"Of the many expectations attending the creation of the first permanent International Criminal Court, the greatest has been that the principle of complementarity would catalyse national investigations and prosecutions of conflict-related crimes and lead to the reform of domestic justice systems. Sarah Nouwen explores whether complementarity has had such an effect in two states subject to ICC intervention: Uganda and Sudan. Drawing on extensive empirical research and combining law, legal anthropology and political economy, she unveils several effects and outlines the catalysts for them. However, she also reveals that one widely anticipated effect - an increase in domestic proceedings for conflict-related crimes - has barely occurred. This finding leads to the unravelling of paradoxes that go right to the heart of the functioning of an idealistic Court in a world of real constraints\"-- Provided by publisher.
Book
De novo generation of SARS-CoV-2 antibody CDRH3 with a pre-trained generative large language model
Artificial Intelligence (AI) techniques have made great advances in assisting antibody design. However, antibody design still heavily relies on isolating antigen-specific antibodies from serum, which is a resource-intensive and time-consuming process. To address this issue, we propose a Pre-trained Antibody generative large Language Model (PALM-H3) for the de novo generation of artificial antibodies heavy chain complementarity-determining region 3 (CDRH3) with desired antigen-binding specificity, reducing the reliance on natural antibodies. We also build a high-precision model antigen-antibody binder (A2binder) that pairs antigen epitope sequences with antibody sequences to predict binding specificity and affinity. PALM-H3-generated antibodies exhibit binding ability to SARS-CoV-2 antigens, including the emerging XBB variant, as confirmed through in-silico analysis and in-vitro assays. The in-vitro assays validate that PALM-H3-generated antibodies achieve high binding affinity and potent neutralization capability against spike proteins of SARS-CoV-2 wild-type, Alpha, Delta, and the emerging XBB variant. Meanwhile, A2binder demonstrates exceptional predictive performance on binding specificity for various epitopes and variants. Furthermore, by incorporating the attention mechanism inherent in the Roformer architecture into the PALM-H3 model, we improve its interpretability, providing crucial insights into the fundamental principles of antibody design.
Antibody design still heavily relies on isolating antigen-specific antibodies from serum. Here the authors report a Pre-trained Antibody generative large Language Model (PALM-H3) for the de novo generation of artificial antibodies heavy chain complementarity-determining region 3 with desired antigen-binding specificity.
Journal Article
Distant justice : the impact of the International Criminal Court on African politics
There are a number of controversies surrounding the International Criminal Court (ICC) in Africa. Critics have charged it with neo-colonial meddling in African affairs, accusing it of undermining national sovereignty and domestic attempts to resolve armed conflict. Here, based on 650 interviews over 11 years, Phil Clark critically assesses the politics of the ICC in Uganda and the Democratic Republic of Congo, focusing particularly on the Court's multi-level impact on national politics and the lives of everyday citizens. He explores the ICC's effects on peace negotiations, national elections, domestic judicial reform, amnesty processes, combatant demobilisation and community-level accountability and reconciliation. In attempting to distance itself from African conflict zones geographically, philosophically and procedurally, Clark also reveals that the ICC has become more politicised and damaging to African polities, requiring a substantial rethink of the approaches and ideas that underpin the ICC's practice of distant justice.
Book
Five computational developability guidelines for therapeutic antibody profiling
Therapeutic mAbs must not only bind to their target but must also be free from “developability issues” such as poor stability or high levels of aggregation. While small-molecule drug discovery benefits from Lipinski’s rule of five to guide the selection of molecules with appropriate biophysical properties, there is currently no in silico analog for antibody design. Here, we model the variable domain structures of a large set of post-phase-I clinical-stage antibody therapeutics (CSTs) and calculate in silico metrics to estimate their typical properties. In each case, we contextualize the CST distribution against a snapshot of the human antibody gene repertoire. We describe guideline values for five metrics thought to be implicated in poor developability: the total length of the complementarity-determining regions (CDRs), the extent and magnitude of surface hydrophobicity, positive charge and negative charge in the CDRs, and asymmetry in the net heavy- and light-chain surface charges. The guideline cutoffs for each property were derived from the values seen in CSTs, and a flagging system is proposed to identify nonconforming candidates. On two mAb drug discovery sets, we were able to selectively highlight sequences with developability issues. We make available the Therapeutic Antibody Profiler (TAP), a computational tool that builds downloadable homology models of variable domain sequences, tests them against our five developability guidelines, and reports potential sequence liabilities and canonical forms. TAP is freely available at opig.stats.ox.ac.uk/webapps/sabdab-sabpred/TAP.php.
Journal Article
Functional antibodies exhibit light chain coherence
The vertebrate adaptive immune system modifies the genome of individual B cells to encode antibodies that bind particular antigens
1
. In most mammals, antibodies are composed of heavy and light chains that are generated sequentially by recombination of V, D (for heavy chains), J and C gene segments. Each chain contains three complementarity-determining regions (CDR1–CDR3), which contribute to antigen specificity. Certain heavy and light chains are preferred for particular antigens
2
–
22
. Here we consider pairs of B cells that share the same heavy chain V gene and CDRH3 amino acid sequence and were isolated from different donors, also known as public clonotypes
23
,
24
. We show that for naive antibodies (those not yet adapted to antigens), the probability that they use the same light chain V gene is around 10%, whereas for memory (functional) antibodies, it is around 80%, even if only one cell per clonotype is used. This property of functional antibodies is a phenomenon that we call light chain coherence. We also observe this phenomenon when similar heavy chains recur within a donor. Thus, although naive antibodies seem to recur by chance, the recurrence of functional antibodies reveals surprising constraint and determinism in the processes of V(D)J recombination and immune selection. For most functional antibodies, the heavy chain determines the light chain.
Among naturally occurring antibodies that have adapted to antigen, those with similar heavy chains usually have similar light chains.
Journal Article
T cell receptor β-chains display abnormal shortening and repertoire sharing in type 1 diabetes
Defects in T cell receptor (TCR) repertoire are proposed to predispose to autoimmunity. Here we show, by analyzing >2 × 10
8
TCRB
sequences of circulating naive, central memory, regulatory and stem cell-like memory CD4
+
T cell subsets from patients with type 1 diabetes and healthy donors, that patients have shorter
TCRB
complementarity-determining region 3s (CDR3), in all cell subsets, introduced by increased deletions/reduced insertions during VDJ rearrangement. High frequency of short CDR3s is also observed in unproductive
TCRB
sequences, which are not subjected to thymic culling, suggesting that the shorter CDR3s arise independently of positive/negative selection. Moreover,
TCRB
CDR3 clonotypes expressed by autoantigen-specific CD4
+
T cells are shorter compared with anti-viral T cells, and with those from healthy donors. Thus, early events in thymic T cell development and repertoire generation are abnormal in type 1 diabetes, which suggest that short CDR3s increase the potential for self-recognition, conferring heightened risk of autoimmune disease.
T cell receptors are generated by somatic gene recombination, and are normally selected against autoreactivity. Here the authors show that CD4 T cells from patients with autoimmune type 1 diabetes have shorter TCRβ sequences, broader repertoire diversity, and more repertoire sharing than those from healthy individuals.
Journal Article
Landscape of B cell immunity and related immune evasion in human cancers
Tumor-infiltrating B cells are an important component in the microenvironment but have unclear anti-tumor effects. We enhanced our previous computational algorithm TRUST to extract the B cell immunoglobulin hypervariable regions from bulk tumor RNA-sequencing data. TRUST assembled more than 30 million complementarity-determining region 3 sequences of the B cell heavy chain (IgH) from The Cancer Genome Atlas. Widespread B cell clonal expansions and immunoglobulin subclass switch events were observed in diverse human cancers. Prevalent somatic copy number alterations in the
MICA
and
MICB
genes related to antibody-dependent cell-mediated cytotoxicity were identified in tumors with elevated B cell activity. The IgG3–1 subclass switch interacts with B cell–receptor affinity maturation and defects in the antibody-dependent cell-mediated cytotoxicity pathway. Comprehensive pancancer analyses of tumor-infiltrating B cell–receptor repertoires identified novel tumor immune evasion mechanisms through genetic alterations. The IgH sequences identified here are potentially useful resources for future development of immunotherapies.
This comprehensive pancancer analysis of RNA-sequencing data from bulk tumors defines the landscape of tumor-infiltrating B cell–receptor repertoires and highlights new mechanisms of tumor immune evasion through genetic alterations.
Journal Article
Principles for computational design of binding antibodies
Natural proteins must both fold into a stable conformation and exert their molecular function. To date, computational design has successfully produced stable and atomically accurate proteins by using so-called “ideal” folds rich in regular secondary structures and almost devoid of loops and destabilizing elements, such as cavities. Molecular function, such as binding and catalysis, however, often demands nonideal features, including large and irregular loops and buried polar interaction networks, which have remained challenging for fold design. Through five design/experiment cycles, we learned principles for designing stable and functional antibody variable fragments (Fvs). Specifically, we (i) used sequence-design constraints derived from antibody multiple-sequence alignments, and (ii) during backbone design, maintained stabilizing interactions observed in natural antibodies between the framework and loops of complementarity-determining regions (CDRs) 1 and 2. Designed Fvs bound their ligands with midnanomolar affinities and were as stable as natural antibodies, despite having >30 mutations from mammalian antibody germlines. Furthermore, crystallographic analysis demonstrated atomic accuracy throughout the framework and in four of six CDRs in one design and atomic accuracy in the entire Fv in another. The principles we learned are general, and can be implemented to design other nonideal folds, generating stable, specific, and precise antibodies and enzymes.
Journal Article
Cross-neutralization of influenza A viruses mediated by a single antibody loop
Immune recognition of protein antigens relies on the combined interaction of multiple antibody loops, which provide a fairly large footprint and constrain the size and shape of protein surfaces that can be targeted. Single protein loops can mediate extremely high-affinity binding, but it is unclear whether such a mechanism is available to antibodies. Here we report the isolation and characterization of an antibody called C05, which neutralizes strains from multiple subtypes of influenza A virus, including H1, H2 and H3. X-ray and electron microscopy structures show that C05 recognizes conserved elements of the receptor-binding site on the haemagglutinin surface glycoprotein. Recognition of the haemagglutinin receptor-binding site is dominated by a single heavy-chain complementarity-determining region 3 loop, with minor contacts from heavy-chain complementarity-determining region 1, and is sufficient to achieve nanomolar binding with a minimal footprint. Thus, binding predominantly with a single loop can allow antibodies to target small, conserved functional sites on otherwise hypervariable antigens.
The crystal structure of an influenza antibody that recognizes a small, conserved site in the variable receptor-binding domain of HA is described; this antibody shows broad neutralization across multiple subtypes of influenza A virus through an antibody–antigen interaction dominated by a single heavy-chain complementarity-determining region 3 loop.
An effective anti-influenza antibody
This manuscript reports the identification and structural characterization of a novel anti-influenza antibody, C05, that recognizes a small conserved site in the variable receptor-binding domain of haemagglutinin. The antibody achieves broad neutralization by the insertion of a single loop of the heavy-chain complementarity-determining region 3 into the small conserved site amplified by the avidity of additional binding interactions. This finding highlights loop insertion into the receptor-binding pocket of haemagglutinin as a possible strategy to achieve broad neutralization of influenza by vaccines and therapeutic antibodies.
Journal Article
Sequence signatures of two public antibody clonotypes that bind SARS-CoV-2 receptor binding domain
Since the COVID-19 pandemic onset, the antibody response to SARS-CoV-2 has been extensively characterized. Antibodies to the receptor binding domain (RBD) on the spike protein are frequently encoded by IGHV3-53/3-66 with a short complementarity-determining region (CDR) H3. Germline-encoded sequence motifs in heavy chain CDRs H1 and H2 have a major function, but whether any common motifs are present in CDR H3, which is often critical for binding specificity, is not clear. Here, we identify two public clonotypes of IGHV3-53/3-66 RBD antibodies with a 9-residue CDR H3 that pair with different light chains. Distinct sequence motifs on CDR H3 are present in the two public clonotypes that seem to be related to differential light chain pairing. Additionally, we show that Y58F is a common somatic hypermutation that results in increased binding affinity of IGHV3-53/3-66 RBD antibodies with a short CDR H3. These results advance understanding of the antibody response to SARS-CoV-2.
Public antibody clonotypes that recognize SARS-CoV-2 spike protein are important for protection against COVID-19. Here, the authors characterize sequence motifs in the heavy chain complementarity-determining region (CDR) H3s of two public clonotypes and their association with light chain identity.
Journal Article