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Dr. Son's Docking and Molecular Dynamics, First Steps

One molecule chosen out of 45,000.
How far should you trust it?

Virtual screening is a funnel: cheap methods throw most things away, expensive methods run only on the few that remain. But whatever the early steps discard never comes back — and the early steps are the least accurate.
These 20 lessons follow ZINC → LigPrep → HTVS → ADMET → Vina → SP → XP → GROMACS → MM-PBSA on one paper's real numbers, working out why a score of −20.66 kcal/mol is not a free energy, why a tannin came first, and why 484 kcal/mol cannot be a binding energy.

🐍 Python🔗 docking🧊 GROMACS ⚖️ MM-PBSA💊 ADMET🚩 false positives🇬🇧 English
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How you'll learn

🔗One stage of the funnel at a time

45,000 → 7,779 → 300 → 50 → 10. At every stage we ask what was thrown away, and on what grounds.

📄Real numbers from a real paper

gscore −20.66 from Table 2, logP 3.43 from the ADMET section, 200 ns / 20 ns from the MD — the values as published.

🚩How to fool yourself, first

Divide the score by size and the winner becomes last. Tannins, PAINS, sign errors, values outside any possible range — you only stop being fooled by working them out yourself.

🛠️Learning by handling it

Every lesson has a laboratory widget — slide a cut-off, raise the flexibility, extend the trajectory, switch MM-PBSA terms on and off.

Full curriculum

01
45,000개에서 하나로 — 깔때기의 모양
Nath 2017 「Ligand Preparation」~「Protein-Ligand Docking」
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02
ZINC — 살 수 있는 분자들의 목록
「the ligands were downloaded from the ZINC database」
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03
리간드 준비 — 분자 하나가 여럿이 되는 이유
「the ligands were prepared and optimized using LigPrep」
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04
도킹이 푸는 두 문제 — 자세와 점수
어디에 어떻게 놓을 것인가, 그리고 그게 얼마나 좋은가
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05
kcal/mol 인데 자유에너지가 아니다
Table 2 「Glide gscore」 −20.66 kcal/mol 을 어떻게 읽나
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06
무엇을 움직이게 둘 것인가 — 강체·유연 리간드·유연 단백질
「In XP docking, flexibility of the interacting regions were considered」
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07
HTVS → SP → XP — 깔때기를 세 번 좁힌다
「a cut off docking score value of −7 kcal/mol」
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08
Vina 의 10.9 와 Glide 의 −20.66 — 견줄 수 없는 두 눈금
「Only ligands with an affinity value of 10.9 and above were considered」
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09
Fig. 7 읽는 법 — 2D 상호작용 그림에 없는 것
Fig. 7 「Hydrogen bond interactions within the Protein and ligand 15 complex」
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10
약물다움 — 리핀스키 다섯 규칙과 그 예외
Fig. 6 「Parameters used to screen ligands based on drug likeliness」
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11
ADMET — 붙는 것과 약이 되는 것은 다르다
FAF-Drugs3 (Mobyle server) · 7,779개가 남은 자리
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12
탄닌이 1등을 했다 — 위양성의 교과서적 사례
「Beta-1,2,3,4,6-Penta-O-Galloyl-D-Glucopyranose … a naturally occurring tannin」
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13
분자동역학이 도킹에 없는 것을 준다 — 시간
GROMACS · 단백질 200 ns · 복합체 20 ns
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14
상자 짓기 — 물·이온·힘장
「SPC/E water model and AMBER99SB-ILDN protein force-field … 3 Cl atoms were added」
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15
에너지 최소화와 평형화 — 왜 먼저 눌러 주나
「energetically minimized for 0.1 ns and for a maximum force ≥ 10.0 kJ/mol」
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16
RMSD 그림 읽는 법 — 이 논문은 평평해지지 않았다
Fig. 8a · 「the deviation … continues to increase for the full simulation length」
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17
RMSF 와 경첩 잔기 — 어디가 흔들리나
Fig. 8b·c · 최대 요동 209·210·212–215·256·344·345 · 경첩 195·221·274·310·322·332·361
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18
수소결합 수 · SASA · 2차 구조 — 나머지 그림들
「higher numbers of hydrogen bonds between the protein residues than with non-protein residues」
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19
【실습】 MM-PBSA — 200~484 kcal/mol 이 왜 이상한가
「the top hundred ligands based on binding energy with energy in the range of 200–484 kcal/mol」
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20
정리 — 인실리코 결과를 실험으로 넘기는 문턱
무엇이 있으면 이 논문이 강해졌을까
✓