Structural and functional annotation of solute carrier transporters: implication for drug discovery
V Dvorak, G Superti-Furga - Expert Opinion on Drug Discovery, 2023 - Taylor & Francis
ABSTRACT Introduction Solute carriers (SLCs) represent the largest group of membrane
transporters in the human genome. They play a central role in controlling the …
transporters in the human genome. They play a central role in controlling the …
Pharos 2023: an integrated resource for the understudied human proteome
Abstract The Illuminating the Druggable Genome (IDG) project aims to improve our
understanding of understudied proteins and our ability to study them in the context of …
understanding of understudied proteins and our ability to study them in the context of …
DrugCentral 2023 extends human clinical data and integrates veterinary drugs
DrugCentral monitors new drug approvals and standardizes drug information. The current
update contains 285 drugs (131 for human use). New additions include:(i) the integration of …
update contains 285 drugs (131 for human use). New additions include:(i) the integration of …
[HTML][HTML] Therapeutic Target Identification and Drug Discovery Driven by Chemical Proteomics
M Zou, H Zhou, L Gu, J Zhang, L Fang - Biology, 2024 - mdpi.com
Simple Summary Human beings are always associated with small molecules throughout
their lives. Chemical proteomics, which selectively identifies small-molecule targets, is an …
their lives. Chemical proteomics, which selectively identifies small-molecule targets, is an …
A dual-modal graph learning framework for identifying interaction events among chemical and biotech drugs
Drug–drug interaction (DDI) identification is essential to clinical medicine and drug
discovery. The two categories of drugs (ie chemical drugs and biotech drugs) differ …
discovery. The two categories of drugs (ie chemical drugs and biotech drugs) differ …
The curse and blessing of abundance—the evolution of drug interaction databases and their impact on drug network analysis
M Udrescu, SM Ardelean, L Udrescu - GigaScience, 2023 - academic.oup.com
Background Widespread bioinformatics applications such as drug repositioning or drug–
drug interaction prediction rely on the recent advances in machine learning, complex …
drug interaction prediction rely on the recent advances in machine learning, complex …
Exploring DrugCentral: from molecular structures to clinical effects
Abstract DrugCentral, accessible at https://drugcentral. org, is an open-access online drug
information repository. It covers over 4950 drugs, incorporating structural, physicochemical …
information repository. It covers over 4950 drugs, incorporating structural, physicochemical …
Novel Drug Targets for Small Molecule‐based Drug Discovery
RR Achar, I Panigrahi, A Singh… - … Methods for Rational …, 2025 - Wiley Online Library
The pharmaceutical field and biomedical exploration are currently heavily reliant on the
discovery and identification of cutting‐edge targets and drugs. The process of finding new …
discovery and identification of cutting‐edge targets and drugs. The process of finding new …
SAR Knowledge Bases for Driving Drug Discovery
N Kandepedu, AK Manchala… - … Drug Discovery: Methods …, 2024 - Wiley Online Library
Recent technological advancements have accelerated compound synthesis and testing,
resulting in an exponential increase in the amount of structure–activity relationship (SAR) …
resulting in an exponential increase in the amount of structure–activity relationship (SAR) …
Temporal trends in novel drug target discovery reveal the increasing importance of human genetic data
Drug approvals involving novel mechanism-of-action targets currently account for about one-
fifth of new FDA-approved drugs each year. Develo** therapies for novel targets carries …
fifth of new FDA-approved drugs each year. Develo** therapies for novel targets carries …