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Iram Khan Iqbal
Researcher at Council of Scientific and Industrial Research
Publications - 5
Citations - 114
Iram Khan Iqbal is an academic researcher from Council of Scientific and Industrial Research. The author has contributed to research in topics: NAD+ kinase & Acetylation. The author has an hindex of 3, co-authored 4 publications receiving 67 citations.
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Journal ArticleDOI
Bioenergetics of Mycobacterium: An Emerging Landscape for Drug Discovery
TL;DR: Inhibitors of oxidative phosphorylation can synergize with frontline TB drugs to shorten the course of treatment and play a critical role in the survival of persisters.
Journal ArticleDOI
Imaging the NADH:NAD+ Homeostasis for Understanding the Metabolic Response of Mycobacterium to Physiologically Relevant Stresses.
TL;DR: Reported strains capable of measuring the metabolic state of Mtb cells in vitro and in vivo with spatio-temporal resolution are generated and it is believed that this tool will facilitate further studies on mycobacterial physiology and will create new avenues of research for anti-tuberculosis drug discovery.
Journal ArticleDOI
Hydrogen sulfide-induced GAPDH sulfhydration disrupts the CCAR2-SIRT1 interaction to initiate autophagy
TL;DR: In this paper, hydrogen sulfide (H2S) sulfhydrates the active site cysteine of the glycolytic enzyme GAPDH (glyceraldehyde-3-phosphate dehydrogenase).
Book ChapterDOI
Quantification of the Metabolic Heterogeneity in Mycobacterial Cells Through the Measurement of the NADH/NAD+ Ratio Using a Genetically Encoded Sensor
TL;DR: This chapter describes the details of a method used in the generation of reporter strains for the measurement of the NADH/NAD+ ratio in mycobacteria, and believes that such reporter stains can be used in novel screens for small molecules that could alter the metabolism of bacterial cells and thus aid in the development of new class of therapeutic agents.
Journal ArticleDOI
Orally Bioavailable CBP and p300 Selective Degraders for the Treatment of AR- and ER-dependent Cancers
S. Thiyagarajan,Chandrasekhar Abbineni,K. Chaitanya T,Iram Khan Iqbal,N. Kumar R,A. Kumar,P.K. Singh,S. Mukherjee,Kavitha Nellore,Shekar Chelur,Murali Ramachandra,Saptarshi Samajdar +11 more
TL;DR: In this article , a ternary complex modeling algorithm, ALMOND (ALgorithm for MOdeling Neo substrate Degraders) was used to identify structurally unique highly selective CBP/p300 degraders, which were further optimized for potency, selectivity and ADME properties.