David Discovers Drug Discovery
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medchem

edX Medicinal Chemistry - Chapter Six on Blood and Drug Transport

edX Medicinal Chemistry - Chapter Five on Receptors

edX Medicinal Chemistry - Chapter Four on enzymes

edX Medicinal Chemistry - Chapter Three on protein structures

edX Medicinal Chemistry - Chapter Two on the drug discovery process

edX Medicinal Chemistry - chapter one

machine-learning

Deep learning with graph networks

Machine Learning with CatBoost

Keras, a python deep learning library

Course on Natural Language Processing with Deep Learning - Stanford CS224n

A crash course to start state-of-the-art NLP in 2018

Ridge regression, LASSO, and elastic net explained

bioinformatics

Analysing single-cell T-cell receptor sequencing data with Scirpy

Nucleosome positioning and its prediction

Covariates and control variables explained

Filter BAM/SAM files by insert size

Pharmacogenomics of GPCR Drug Targets

programming

Continuous documentation, testing, and integration for R packages

Submitting Snakemake jobs to Slurm

Learning Logstash - Part I

Axis in Python and MARGIN in R explained

Linking native routines between R packages - a demo

Building R and/or R packages for Windows

Disable non-portable compiler flags with ~/.R/Makevars

Install R in Linux MINT 18

Develop R packages with Rcpp and RStudio

Notes on using sqlite3

career

RISE studentship to analyse vascular network images

Staying mentally healthy during the coronavirus pandemic

Talk at *Insight China*

Zürich Life Science Day 2018: presentation and impressions

DrugDiscovery

A SPARK for therapeutic pathway hunting

Multispecific drugs reviewed

An application of machine learning for DNA-encoded library screening

Spotting problems that both matter and are computationally solvable

RNA-guided endonuclease editing: history and testing in the clinic

Probing protein communities with mass spectrometry

Welcome, Aviv Regev!

Bioinformatics approaches to understanding the MoA of a compound

Molecular Phenotyping in Drug Discovery

DiscoveryWeekly

Discoveries Weekly No. 16 (July 28-August 2, 2020): Zettelkasten

Discoveries Weekly No. 15 (July 20-July 26, 2020)

Discoveries Weekly No. 14 (July 13-July 19, 2020)

Discoveries Weekly No. 13 (July 6-July 12, 2020)

Discoveries Weekly No. 12 (June 29-July 5, 2020)

Discoveries Weekly No. 11 (June 22-28, 2020)

Discoveries Weekly No. 10 (June 15-21, 2020)

Discoveries Weekly No. 9 (June 8-14, 2020)

Discoveries Weekly No. 8 (June 1-7, 2020)

Discoveries Weekly No. 7 (May 25-31, 2020)

Discoveries Weekly No. 6 (May 18-24, 2020)

Discoveries Weekly No. 5 (May 11-17, 2020)

Discoveries Weekly No. 4 (May 4-8, 2020)

Discoveries Weekly No. 3 (April 25-May 1, 2020)

Discoveries Weekly No. 2 (April 20-27, 2020)

Discoveries Weekly No. 1 (April 13-20, 2020)

Notes

About time

Configuring the home wireless network

Mathematics

Learning from mathematical models of infectious-disease dynamics

Book

Nonviolent communication

Biology

Meta-analysis of single-cell RNA-sequencing studies for SARS-CoV-2

A fresh look at tumour and immune-system dynamics in lung cancer

LOX mediates doxorubicin resistance in triple-negative breast cancer models

Music

Chord sequence 1-6-2-5-1

Statistics

Three classical approaches to hypothesis testing

Degree of freedom in statistical testing

Genomics

Intrisincally disodered regions in transcription factors

MultiScaleModelling

Mathematical modelling and single-cell RNA sequencing for cancer immunotherapy

notes

Thoughts inspired by a recital of Igor Levit

AMIDD

Applied Mathematics and Informatics In Drug Discovery (2020)

Career

Neurobiology Ph.D. Program in Shenzhen

  • Jitao David Zhang
  • mail@jdzhang.me

Subscribe GPG Key

Notes of a computational biologist working in drug discovery