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Matthew A. Kayala

Researcher at University of California, Irvine

Publications -  17
Citations -  2045

Matthew A. Kayala is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Antigen & Malaria. The author has an hindex of 14, co-authored 17 publications receiving 1811 citations.

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A prospective analysis of the Ab response to Plasmodium falciparum before and after a malaria season by protein microarray.

TL;DR: A protein microarray was developed and used to probe plasma from 220 individuals in Mali and provided insight into patterns of Ab reactivity against Pf proteins based on the life cycle stage at which proteins are expressed, subcellular location, and other proteomic features, which could prove to be a useful strategy for better understanding fundamental properties of the human immune response to Pf.
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High-throughput prediction of protein antigenicity using protein microarray data

TL;DR: There is a significant need for homology-free methods capable of screening entire proteomes for the antigens most likely to generate a protective humoral immune response, and this work trains a sequence-based prediction model, ANTIGENpro, to predict the likelihood that a protein is a protective antigen.
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A Burkholderia pseudomallei protein microarray reveals serodiagnostic and cross-reactive antigens.

TL;DR: Results show that microarrays allow a more comprehensive analysis of the immune response on an antigen- specific, patient-specific, and population-specific basis, can identify serodiagnostic antigens, and contribute to a more detailed understanding of immunogenicity to this pathogen.
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Learning to Predict Chemical Reactions

TL;DR: This work describes single mechanistic reactions as interactions between coarse approximations of molecular orbitals (MOs) and use topological and physicochemical attributes as descriptors and proposes a new approach to reaction prediction utilizing elements from each pole.
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A genome-wide proteome array reveals a limited set of immunogens in natural infections of humans and white-footed mice with Borrelia burgdorferi.

TL;DR: The results indicate that the majority of deduced proteins of B. burgdorferi do not elicit antibody responses during infection and that the limited sets of immunogens are similar for two different host species.